In today's rapidly evolving technological landscape, industries increasingly turn to industrial robots and intelligent drones to streamline processes, improve efficiency, and reduce costs. However, the complexity of these smart devices, coupled with the need for seamless integration of machine learning, AI, robotics, and deep learning technologies, poses significant challenges for researchers and practitioners alike. As a result, there is a growing demand for comprehensive resources that explore the latest advancements in these fields and provide practical insights and solutions for effectively leveraging these technologies.

AI Developments for Industrial Robotics and Intelligent Drones addresses this pressing need by offering a detailed and insightful examination of the key technologies driving the development of industrial robots and intelligent drones. Through its in-depth exploration of topics such as industrial robots, intelligent drones, IoT integration, programming, control systems, and security, this book provides readers with a holistic view of the challenges and opportunities in the field. This book is a comprehensive guide for researchers, scholars, and professionals seeking to understand and harness the full potential of these technologies.

The rapid advancements in artificial intelligence (AI) are transforming how organizations approach software development, creating both opportunities and challenges in the workplace. As AI tools become more mainstream, understanding their role, as well as the responsibilities of users, is crucial for ensuring their effective integration into software development processes. A clear framework for introducing AI in Information Systems Management can significantly enhance the efficiency and effectiveness of development teams and their external stakeholders.

AI Frameworks and Tools for Software Development presents the best practices, research findings, and guidelines for using AI frameworks and tools in software development. It provides a holistic understanding of these key processes, functions, and workflows that are essential for effective Software Development Lifecycle (SDLC). Covering topics such as industrial automation, knowledge management, and code reusability, this book is an excellent resource for software developers, computer scientists, professionals, researchers, scholars, academicians, and more.

The integration of artificial intelligence into nuclear medicine is transforming the field by enhancing diagnostic accuracy, optimizing treatment plans, and expanding patient access to high-quality care. As AI-driven technologies continue to evolve, they offer new opportunities for improving efficiency, reducing human error, and personalizing medical interventions. However, these advancements also come with challenges, requiring careful oversight to ensure ethical implementation, patient safety, and adherence to professional standards. The active involvement of the medical community is essential in shaping the responsible use of AI to maximize its benefits while safeguarding both patients and society.

AI Insights on Nuclear Medicine explores the transformative role of artificial intelligence in nuclear medicine, focusing on its applications in diagnostic imaging, treatment planning, and predictive analytics. By leveraging machine learning and automation, AI enhances accuracy, efficiency, and personalized care, ultimately improving patient outcomes and streamlining clinical workflows. Covering topics such as hybrid imaging, precision therapeutics, and decentralized infrastructure, this book is an excellent resource for physicists, computational imaging scientists, physicians, statisticians, industry and regulatory agency representatives, professionals, researchers, scholars, academicians, and more.

Embark on an exploration of the challenges posed by the convergence of artificial intelligence (AI) and multimedia data processing. In the landscape of technology, the relationship between AI and multimedia unfolds with unprecedented innovation, accompanied by formidable ethical concerns and data management complexities. As society immerses itself in the digital age, marked by a flood of multimedia content, the urgent need to grapple with these multifaceted issues becomes apparent. This transformative journey into the heart of contemporary technological challenges is guided by the insights within. The book, AI Techniques for Multimedia Data Processing, serves as an indispensable resource, unraveling the layers of complexity within the symbiotic relationship between AI and multimedia.

Within the pages of AI Techniques for Multimedia Data Processing, readers will find a comprehensive exploration that goes beyond theoretical discussions, delving into the practical applications and implications of AI in multimedia processing. This transformative journey navigates the terrain where ethical concerns meet practical applications, providing a profound understanding of how AI reshapes our interaction with multimedia content. As the chapters unfold, addressing challenges from video compression and streaming to multimedia recognition, segmentation, and content classification, readers are equipped with the knowledge needed to responsibly harness the transformative potential of AI in the realm of multimedia data processing.

In the past several years, artificial intelligence (AI) has upended and transformed the private and public sectors. AI techniques have shown significant promise in securing sensitive data and ensuring compliance with regulatory standards. In medical practices, AI can enhance patient confidentiality through advanced encryption methods. Similarly, in business environments, AI-driven security protocols can protect against cyber threats and unauthorized access, safeguarding both intellectual property and customer information. By leveraging AI for these purposes, organizations can not only enhance their operational efficiency but also build trust and credibility with their stakeholders.

AI Techniques for Securing Medical and Business Practices provides real-world case studies and cutting-edge research to demonstrate how AI is enhancing threat detection and risk management in cybersecurity. Beyond cybersecurity, this book explores the broader applications of AI in fields such as healthcare, finance, and creative industries. It examines innovations in medical imaging, financial modeling, and content creation, while addressing critical ethical issues like data privacy and algorithmic bias. Aimed at researchers, postgraduate scholars, industry professionals, and the general public, it provides a thorough understanding of AI's transformative potential and its implications for various sectors.

In mental health care, artificial intelligence (AI) tools can enhance diagnostic accuracy, personalize treatment plans, and provide support through virtual therapy and chatbots that offer real-time assistance. These technologies can help identify early signs of mental health issues by analyzing patterns in speech, behavior, and physiological data. However, the integration of AI also raises concerns about privacy, data security, and the potential for algorithmic bias, which could impact quality of care. As AI continues to evolve, its role in psychological well-being and healthcare will depend on addressing these ethical and practical considerations while harnessing its potential to improve mental health outcomes and streamline healthcare delivery.

AI Technologies and Advancements for Psychological Well-Being and Healthcare discusses the latest innovations in AI that are transforming the landscape of mental health and healthcare services. This book explores how AI applications, such as machine learning algorithms and natural language processing, are enhancing diagnostic accuracy, personalizing treatment options, and improving patient outcomes. Covering topics such as behavioral artificial intelligence, medical diagnosis, and precision medicine, this book is an excellent resource for mental health professionals, healthcare providers and administrators, AI and data scientists, academicians, researchers, healthcare policymakers, and more.

AI technologies revolutionize recycling processes by offering innovative solutions to the challenges of waste management and resource recovery. By utilizing advanced algorithms, machine learning, and computer vision, organizations may enhance sorting accuracy, optimize logistics, and improve the efficiency of recycling systems. Robotics can identify and separate recyclable materials more effectively than traditional methods, reducing contamination and increasing recovery rates. Predictive analytics can streamline operations by anticipating demand and adjusting processing capabilities. Further exploration into the integration of AI in recycling may increase operational performance while supporting current environmental goals and a circular economy.

AI Technologies for Enhancing Recycling Processes explores the influential role technologies play in transforming waste management practices and propelling us towards sustainability. It examines the pressing international issue of waste accumulation and critiques the inadequacies inherent in conventional disposal methods, revealing how advancements such as automation, robotics, and state-of-the-art processing methods can revolutionize our approach. This book covers topics such as environmental science, nanotechnology, and sustainability, and is a useful resource for computer engineers, material scientists, environmentalists, business owners, economists, academicians, and researchers.

Artificial intelligence (AI) and green technology are increasingly intertwined, playing a critical role in driving sustainable solutions across various sectors of society. AI-powered systems optimize energy consumption by predicting demand and enhancing the efficiency of renewable energy sources like solar and wind power. In agriculture, AI enables precision farming, reducing waste, and conserving resources by analyzing soil conditions, weather patterns, and crop health. Additionally, AI contributes to the development of smart cities, where it helps reduce carbon emissions through traffic optimization, energy-efficient buildings, and sustainable waste management. Combined with green technologies, AI accelerates innovation, fostering a more sustainable and eco-conscious society.

AI and Green Technology Applications in Society explores the intersection of AI and sustainable technologies, detailing how AI is driving innovation in environmental conservation and energy efficiency. It further delves into ethical implications, challenges, and the future potential of integrating AI with green technologies to promote a sustainable and eco-friendly future. Covering topics such as climate change, precision agriculture, and smart cities, this book is an excellent resource for AI researchers, policymakers, sustainability professionals, academicians, graduate and postgraduate students, and more.

As the world grapples with the alarming rate of biodiversity loss, the potential of cutting-edge technologies, namely machine learning (ML) and artificial intelligence (AI), revolutionize the way we approach wildlife conservation. From sophisticated sensor technologies to innovative AI algorithms, foundational tools driving this paradigm shift provide a comprehensive understanding of their applications in safeguarding biodiversity. The navigation of systems such as the Spatial Monitoring and Reporting Tool (SMART) and advanced animal detection systems can be used to delve into the intricacies of feature extraction and precise identification. This exploration of predictive modeling, data ethics, citizen science, and the integration of satellite data offers a holistic perspective on the dynamic intersection of technology and conservation.

AI and Machine Learning Techniques for Wildlife Conservation illustrates the tangible impact of these technologies on addressing pressing conservation challenges and advocates for the engagement of citizen science initiatives with AI. It fosters a collaborative approach to wildlife conservation that leverages the power of technology for a sustainable future. Covering topics including Internet of Things (IoT), satellite data, and predictive ecosystem management, this book is an excellent resource for conservationists, computer scientists, researchers, professionals, academicians, scholars, and more.

Utilizing artificial intelligence (AI) and quantum network applications may revolutionize both business and medicine, offering opportunities for innovation and efficiency. In business, AI tools in data analytics and quantum computing applications help enhance decision-making, optimize supply chains, and unlock avenues for growth through predictive modeling. In medicine, intelligent technologies provide more precise detection and diagnosis, personalize treatment, and improve drug discovery capabilities. Further integration of both tools into business and medicine is necessary to improve outcomes for various sectors and create new approaches to innovation.

AI and Quantum Network Applications in Business and Medicine explores the application of artificial intelligence and quantum computing in business and medical industries. Solutions for disease diagnosis, resource allocation, and effective data analysis are presented using tools like machine learning, quantum networking, and intelligent technology. This book covers topics such as medical diagnosis, deep learning, and trauma responses, and is a useful resource for medical professionals, doctors, scientists, computer engineers, business owners, academicians, and researchers.

As artificial intelligence (AI) continues to advance, its potential to reshape law enforcement practices becomes evident. AI technologies, including predictive policing, facial recognition, and data-driven analysis, are transforming how law enforcement agencies approach crime prevention, investigation, and resource allocation. While these innovations promise to enhance efficiency and improve public safety, they also raise important questions about privacy, bias, and community trust. The future of AI in law enforcement requires a delicate balance, harnessing the power of AI to solve complex problems and enhance responsiveness, while ensuring that ethical considerations, transparency, and accountability are at the forefront of its implementation. As AI becomes more integrated into policing strategies, its role in redefining community trust and reshaping how law enforcement engages with the public will be crucial in determining whether it serves as a force for good or increases societal tensions.

AI and the Future of Law Enforcement: Redefining Community Trust and Problem-Solving delves into the intersection of AI and law enforcement. It explores how using AI in policing can redefine community trust and improve problem-solving while addressing the challenges and controversies surrounding its implementation. This book covers topics such as conflict resolution, ethics and law, and public safety, and is a useful resource for policymakers, government officials, engineers, academicians, and researchers.

The interplay between big data and Artificial Intelligence has redefined how organizations process, analyze, and utilize information in the modern era. By leveraging AI, big data has transitioned from a static resource to a dynamic force capable of driving innovation, creating strategic insights, and transforming industries. This evolution underscores the importance of building trust in both human and technological systems to manage data responsibly and effectively. As the reliance on data-driven decision-making grows, understanding this relationship is vital for advancing societal progress and fostering sustainable development.

AI and the Revival of Big Data offers a nuanced understanding of the evolution of big data and its enduring significance in the digital age. Additionally, the discussion of AI's role in revitalizing big data will inspire new avenues of research and collaboration across disciplines. Covering topics such as load distribution, financial malfeasance, image analysis, this book is an excellent resource for data scientists, business leaders, practitioners, policymakers, and industry professionals, professionals, researchers, scholars, academicians, and more.

The integration of Artificial Intelligence (AI), Machine Learning (ML), and the Internet of Things (IoT) into communication and healthcare systems presents a complex array of challenges. From data security and privacy concerns to ethical dilemmas and the need for regulatory frameworks, the adoption of these transformative technologies requires careful consideration and expertise. Additionally, the rapid pace of technological advancement often needs to improve the understanding and implementation of these innovations, leading to inefficiencies and missed opportunities in communication and medical practices.

AI, Machine Learning, and IoT for Communication and Medical Applications offers a comprehensive solution to these challenges, providing a deep dive into the applications, challenges, and implications of AI, ML, and IoT in communication and healthcare. By combining theoretical insights with practical examples, this book equips professionals and researchers with the knowledge and tools needed to navigate the complexities of these technologies. With a focus on practical applications and real-world scenarios, this book is a valuable resource for implementing AI, ML, and IoT solutions in communication systems and medical practices.

AI-driven breakthroughs in antimicrobial resistance (AMR) are transforming the way we approach pressing global health challenges. As bacteria evolve to resist traditional antibiotics, the need for innovative solutions increases. AI plays a pivotal role in the accelerated discovery of new antimicrobial agents, optimized drug development, and improved diagnostics. By analyzing datasets, identifying patterns, and simulating molecular interactions, AI is enabling researchers to uncover new compounds, predict resistance mechanisms, and develop targeted treatments. Further research into these advancements may help with drug-resistant infection mitigation and preventing the consequences of antimicrobial resistance.

AI-Driven Breakthroughs in Antimicrobial Resistance explores the intersection of artificial intelligence and the global challenge of antimicrobial resistance. It delves into the innovative ways in which AI technologies are leveraged to discover new antibiotics, understand resistance mechanisms, and design interventions to revolutionize the treatment of infectious diseases. This book covers topics such as patient care, infectious diseases, and machine learning, and is a useful resource for computer engineers, data scientists, medical professionals, biologists, academicians, and researchers.

As healthcare systems adopt advanced technologies like electronic health records, telemedicine, and wearable health devices, the volume of sensitive information grows, making it a target for cyberattacks. Artificial intelligence (AI) enhances security by offering real-time threat detection, anomaly identification, and adaptive defenses that can anticipate and counter cyber threats. AI plays a pivotal role in ensuring privacy by implementing advanced encryption techniques, access controls, and compliance monitoring, all while maintaining patient care. Further research of the integration of AI into healthcare cybersecurity strategies may assist organizations in strengthening their defenses, protecting patient confidentiality, and ensuring regulatory compliance in a digital landscape.

AI-Driven Healthcare Cybersecurity and Privacy explores the integration of intelligent technologies into medical data security and privacy. It examines the role of AI in securing patients’ medical information, as well as organizational privacy techniques for broader healthcare systems. This book covers topics such as federated learning, deep learning, and cloud technology, and is a useful resource for engineers, computer and data scientists, security professionals, medical and healthcare workers, academicians, and researchers.

As the healthcare industry continues to rely on data to enhance patient outcomes and streamline operations, artificial intelligence (AI) becomes a powerful tool for complex dataset analysis using improved speed and accuracy. From predictive modeling in disease outbreak management to personalized treatment plans for individual patient profiles, AI technologies are reshaping clinical decision-making and resource allocation. Harnessing the potential of machine learning and advanced analytics may allow healthcare providers to uncover insights that drive innovation, improve patient care, and optimize operational efficiency.

AI-Driven Innovation in Healthcare Data Analytics explores the intersection of AI and healthcare data analytics. It examines the application of AI-driven techniques, including machine learning, deep learning, and data mining, in addressing complex challenges in healthcare management. This book covers topics such as data science, medical diagnosis, and patient care, and is a useful resource for healthcare professionals, data scientists, computer engineers, business owners, academicians, and researchers.

AI-driven personalized healthcare solutions transform approaches to medical treatment by personalizing care to the needs of individuals. Utilizing advanced algorithms, machine learning, and large amounts of patient data, AI enables more accurate diagnoses, predictive analytics, and customized treatment plans. This approach allows for early detection of diseases, enhanced monitoring of chronic conditions, and the ability to create precision medicine strategies specific to each patient's genetics, lifestyle, and health. Further research may encourage efficient, effective, and patient-centered care, improving outcomes and reducing healthcare costs.

AI-Driven Personalized Healthcare Solutions explores the transformative role of AI in revolutionizing healthcare and medicine. It delves into the cutting-edge technologies, applications, and ethical considerations surrounding AI-driven healthcare solutions, from diagnosis and treatment to personalized medicine and patient care. This book covers topics such as telemedicine, disease detection, and healthcare monitoring, and is a useful resource for computer engineers, healthcare professionals, scientists, academicians, and researchers.

The rapid advancement of technology brings with it unprecedented opportunities for innovation and connectivity. However, alongside these advancements, the threat of cybersecurity breaches looms larger than ever. Cybersecurity breaches pose a significant challenge for individuals, organizations, and societies at large. As interconnections between digital environments multiply, so do the avenues for malicious actors to exploit vulnerabilities, jeopardizing the integrity of data and infrastructure. The escalating issue of cybersecurity demands a proactive and sustainable solution.

AI-Enhanced Solutions for Sustainable Cybersecurity is a groundbreaking and comprehensive exploration of how artificial intelligence (AI) can be leveraged to fortify cybersecurity defenses in an increasingly complex digital landscape. By delving into topics such as intrusion detection systems, authentication protocols, and IoT security, the editors provide a nuanced understanding of the challenges facing cybersecurity practitioners today.

In the field of pharmaceutical sciences, the integration of artificial intelligence (AI) has emerged as a groundbreaking force, propelling the field into uncharted territories of discovery and innovation. As traditional approaches in drug discovery and development encounter new challenges, the need for cutting-edge technologies becomes increasingly apparent. AI-Powered Advances in Pharmacology offers an insightful exploration of this critical intersection between AI and pharmacological research. This book delves into how AI technologies are reshaping the understanding of diseases, predicting drug responses, and optimizing therapeutic interventions. It navigates through the relationship between AI algorithms, big data analytics, and traditional pharmacological methodologies, promising to accelerate drug development and usher in a new era of precision medicine.

The primary objective of AI-Powered Advances in Pharmacology is to conduct a thorough exploration of the integration of artificial intelligence (AI) into pharmacological research, shedding light on its transformative impact on drug discovery, development, and personalized medicine. This comprehensive overview aims to serve as a valuable resource for researchers, practitioners, and students in the field, bridging the gap between traditional pharmacological approaches and AI methodologies. Through case studies and discussions of emerging trends, the book contributes to the evolving landscape of pharmacology, fostering a deeper understanding of diseases, optimizing therapeutic interventions, and shaping the future of precision medicine. By providing practical insights, it aims to inspire further advancements at the intersection of artificial intelligence and pharmacology.

In the wake of rapid industrial expansion and the consequent surge in energy consumption, our planet faces an imminent threat—global warming. The symbiotic relationship between escalating industrial activities and the insatiable demand for energy resources has given rise to a pressing environmental crisis. As information technology (IT) and computing services advance at an unprecedented pace, the need for energy usage grows exponentially, exacerbating the environmental impact. The world is at a crossroads, demanding a transformative solution that not only addresses the energy conundrum but also steers technological advancements toward a sustainable future.

Achieving Sustainability with AI Technologies stands as the beacon of hope in this environmental conundrum. Edited with the intent of delivering a convergence strategy, this book comprehensively explores, transforms, and develops technological systems tailored to emerging technologies in society. Targeted at academic scholars, the book encapsulates a groundbreaking approach to the energy crisis by unraveling the potential of Green Computing. It serves as a pivotal guide, offering insights into sustainable cloud computing, harnessing artificial intelligence and machine learning for sustainability, navigating sustainable wireless systems and networks, and pioneering Green IoT and Edge-AI. Each chapter provides a profound exploration of solutions that bridge the gap between technological advancements and sustainable practices.

Addressing the challenges of urbanism requires innovative solutions that can manage the complexities of growing cities. The integration of artificial intelligence (AI) and Internet of Things (IoT) offers powerful tools to tackle issues like traffic congestion, waste management, energy efficiency, and public safety. Through smart sensors, data analytics, and machine learning algorithms, AI and IoT can provide real-time insights and automation, enabling cities to become more adaptive, sustainable, and livable. By harnessing these technologies, urban planners can optimize resources, improve citizen services, and create safer, greener environments. As urban populations rise, further research into AI and IoT may help communities build smarter cities for the future.

Addressing Urbanism Challenges With AI and the Internet of Things delves into the transformative potential of advanced technologies in addressing these complex global issues. It presents a comprehensive exploration of how cutting-edge technologies can drive positive change and foster sustainable development worldwide. This book covers topics such as data science, energy engineering, and smart technology, and is a useful resource for business owners, engineers, environmentalists, urban designers, academicians, and researchers.

Advanced antenna technologies for aerial platforms revolutionize telecommunications, defense, and remote sensing, increasing connectivity and data transmission capabilities. As the demand for high-performance communication systems in drones, satellites, and other airborne vehicles grows, innovative designs and materials emerge to enhance antenna efficiency, bandwidth, and radiation patterns. From the initial design phase, where considerations of weight, aerodynamics, and environmental resilience are critical, to the usage in diverse operational environments, these technologies ensure reliable performance. Further exploring the intricacies of advanced antenna development may allow researchers to understand how these innovations shape aerial platforms and their applications across various industries.

Advanced Antenna Technologies for Aerial Platforms: From Design to Deployment explores the intersection of antenna technology and aerospace engineering, exploring the development and application of antenna systems for communication across a broad spectrum of applications. The book will encompass research on innovative antenna designs and their integration into aerospace systems, including the broader potential for technological applications beyond aviation. This book covers topics such as aerospace engineering, manufacturing technologies, and unmanned aerial vehicles, and is a useful resource for business owners, engineers, computer scientists, academicians, and researchers.

Advanced computation solutions transform how industries and organizations optimize energy usage, reduce waste, and minimize environmental impact. By leveraging cutting-edge technologies, these solutions enable real-time monitoring and precise control over energy systems. From smart grids to energy-efficient building management systems, computational tools enable accurate prediction, analysis, and optimization of energy consumption. As the demand for sustainable energy practices grows, advanced computational solutions are becoming indispensable for achieving greater efficiency, lowering costs, and supporting global efforts to combat climate change. These innovations offer promising pathways toward a more sustainable and energy-conscious future.

Advanced Computation Solutions for Energy Efficiency examines the intersection of technology and energy management. It explores the role of artificial intelligence and machine learning in analyzing energy consumption patterns and optimizing resource allocation. This book covers topics such as green economics, renewable energy, and fault detection, and is a useful resource for energy scientists, computer engineers, business owners, academicians, and researchers.

Cutting-edge techniques and strategies are necessary to protect space missions from cyber threats. The latest advancements in cyber defense technologies offer insights into the unique challenges of securing space-based systems and infrastructure. Additionally, a combination of theoretical insights and practical applications provides a holistic understanding of cyber security tailored specifically for the space industry. Securing space missions against and understanding the complexities of cyber threats are of critical importance.

Advanced Cyber Defense for Space Missions and Operations: Concepts and Applications addresses the intersection of cyber security and space missions, a field of growing importance as space exploration and satellite technologies continue to advance. By providing a detailed examination of contemporary cyber defense strategies, this publication offers innovative solutions and best practices for enhancing the security of space missions. Covering topics such as cyber-physical systems, attack detection models, and geopolitical shifts, this book is an excellent resource for cyber security specialists, aerospace engineers, IT professionals, policymakers, defense strategists, researchers, professionals, scholars, academicians, and more.

In a world where cyber threats are becoming increasingly sophisticated, the need for robust protection of our digital assets has never been more crucial. As blockchain, IoT, and network infrastructures technologies expand, so do new avenues for exploitation by malicious actors. Protecting sensitive data and ensuring the integrity of digital communications are paramount in safeguarding personal privacy, corporate assets, and even national security. To stay ahead of this unprecedented curve, it is essential for professionals and organizations to remain up to date with these technologies.

Advanced Cyber Security Techniques for Data, Blockchain, IoT, and Network Protection delves into the latest methods and strategies used by industry experts to secure complex digital environments. Whether fortifying blockchain frameworks, securing IoT devices, or protecting vast network infrastructures, this resource offers the cutting-edge insights necessary to stay one step ahead of cyber threats. This volume equips practitioners, academics, and policymakers with the knowledge to protect the digital frontier and ensure the safety and security of valuable assets.

Advanced interdisciplinary applications of deep learning are revolutionizing the field of data science, enabling new solutions across industries. By leveraging neural networks and datasets, deep learning techniques are transforming how businesses analyze, interpret, and gain insights from complex data. In fields like healthcare, finance, engineering, and business, deep learning models can uncover patterns and make predictions to enhance data-driven decision-making while fostering new opportunities in areas like personalized medicine, autonomous systems, and predictive analytics. As deep learning continues evolves, its interdisciplinary impact expands, creating new possibilities for solving challenges in data science.

Advanced Interdisciplinary Applications of Deep Learning for Data Science explores innovations of deep learning technology in data science for various industries and sectors. It examines solutions for decision-making and patient or customer service using machine learning, AI, and predictive analytics. This book covers topics such as bioinformatics, environmental monitoring, and medical diseases, and is a useful resource for data scientists, computer engineers, medical professionals, academicians, and researchers.

In the rapidly evolving landscape of technology, innovation, and sustainability, there is a growing need to explore advanced research trends that shape our understanding and implementation of solutions for a sustainable future. Emerging fields such as renewable energy, artificial intelligence (AI), and circular economy principles are at the forefront of this exploration, driving transformative changes across industries. Understanding these trends allows us to create resilient solutions to promote economic growth, environmental protection, and social well-being. This commitment to innovation and sustainability will be essential for fostering a balanced and prosperous future.

Advanced Research Trends in Sustainable Solutions, Data Analytics, and Security introduces new research trends that could change how we perceive, use, and integrate technology in a rapidly changing world. It advances the understanding of how technology and innovation can contribute to sustainable development, fostering interdisciplinary collaborations that transcend traditional boundaries, and inspiring actionable initiatives that address global challenges. Covering topics such as artificial intelligence (AI), green infrastructure, and sustainable tourism, this book is an excellent resource for researchers, practitioners, policymakers, academicians, and more.

In the current fast-paced business environment, organizations face the challenge of improving operational efficiency and driving innovation while dealing with complex technological landscapes. Many organizations require assistance exploiting intelligent process automation's full potential (IPA). This is often due to a need for more comprehensive understanding or clear implementation strategies. As a result, they need to help their workflows, optimize resources, and adapt effectively to changing market demands.

Advancements in Intelligent Process Automation bridges this gap by providing a holistic view of IPA, encompassing RPA, AI, and ML, among other key technologies. Through real-world case studies, strategic guidelines, and interdisciplinary perspectives, the book offers actionable insights that are not just theoretical, but practical and implementable. This ensures that organizations seeking to implement IPA can do so seamlessly, without feeling overwhelmed or unsure. Addressing ethical and regulatory considerations ensures responsible AI practices and compliance, fostering a sustainable approach to automation.

As technology continues to evolve at an unprecedented pace, the field of auditing is also undergoing a significant transformation. Traditional practices are being challenged by the complexities of modern business environments and the integration of advanced technologies. This shift requires a new approach to risk assessment and auditing, one that can adapt to the changing landscape and address the emerging challenges of technology-driven organizations.

Advances in Enterprise Technology Risk Assessment offers a comprehensive resource to meet this need. The book combines research-based insights with actionable strategies and covers a wide range of topics from the integration of unprecedented technologies to the impact of global events on auditing practices. By balancing both theoretical and practical perspectives, it provides a roadmap for navigating the intricacies of technology auditing and organizational resilience in the next era of risk assessment.

Aerogels represent a groundbreaking advancement in material science due to their exceptional physicochemical properties, making them highly valuable across various fields such as medicine, engineering, and environmental science. Their ultra-lightweight structure, high porosity, and superior thermal and acoustic insulation capabilities position them as a transformative solution for modern technological challenges. As research into aerogels continues to expand, their applications in energy storage, aerospace, filtration, and biomedical engineering hold great promise for innovation and sustainability. Understanding the latest advancements and potential of aerogels is essential for scientists, engineers, and industry professionals aiming to harness their full potential for future developments.

Advances, Applications, and Future Perspectives of Aerogels provides an in-depth overview of the chemistry of aerogels. It discusses comprehensively the synthesis, characterization and physicochemical properties of aerogels. Covering topics such as bone regeneration, nanocomposites, and climate resilience, this book is an excellent resource for technologists, medical doctors, material scientists, engineers, professionals, researchers, scholars, academicians, and more.

With the increasing power of computing, cybersecurity faces mounting threats, making digital systems more vulnerable to attacks. While modern cryptography used to be compelling, it now shows vulnerabilities against rapidly growing computational capabilities. Therefore, robust security solutions have become urgent in this precarious landscape.

Advancing Cyber Security Through Quantum Cryptography is a book that can guide us through the turbulent waters of cybersecurity and quantum cryptography. It offers a panoramic view of current affairs, insightful analyses, illuminating case studies, and meticulous exploration of challenges and opportunities. Through this book, readers can gain knowledge and navigate this complex terrain. It delves into critical areas where quantum cryptography can fortify cybersecurity defenses, such as secure communications, e-commerce, and quantum internet.

As industrial automation increasingly relies on artificial intelligence (AI) to drive robotic and drone technologies, the need to secure these systems against sophisticated cyber threats has become paramount. By exploring the cybersecurity challenges and solutions for AI-powered industrial systems, AI has become key for advancing real-time threat detection and adversarial machine learning attacks. The implementations of secure AI-driven robotics and drones reach various industrial sectors such as manufacturing, energy, logistics, and agriculture. AI is transforming industrial automation and, at the same time, exposing these systems to new vulnerabilities.

Advancing Cybersecurity in Smart Factories Through Autonomous Robotic Defenses bridges the gap between the technical aspects of AI, industrial automation, and the evolving landscape of cybersecurity. This book provides readers with insight into the most recent advancements in AI-powered security tools, explore ethical and regulatory considerations, and learn practical strategies to protect complex systems from cyberattacks. Covering topics such as smart factories, wearable devices, and drone systems, this book is an excellent resource for cybersecurity professionals, computer engineers, industrial engineers, policymakers, policy regulators, professionals, researchers, scholars, academicians, and more.

In the field of medical research, scholars must leverage the latest advancements in neuroscience to revolutionize healthcare outcomes. This book offers a compelling exploration into the dynamic intersection of neuroscience and medical science, presenting a comprehensive guide to the latest advancements shaping healthcare. Delving deep into the intricate workings of the brain and nervous system, this book provides a foundational understanding of neuroscience principles, setting the stage for groundbreaking insights into medical breakthroughs.

From unraveling the mysteries of neurological disorders to harnessing the brain's remarkable ability to heal itself through neuroplasticity, each chapter within Advancing Medical Research Through Neuroscience explores specific aspect of neuroscience's impact on medical research. Cutting-edge technologies such as functional MRI and optogenetics are examined alongside innovative treatment strategies for conditions ranging from addiction to neurodegenerative diseases like Alzheimer's and Parkinson's. Whether you're a student, researcher, or healthcare professional, this book serves as an indispensable resource, inspiring collaboration and innovation to drive progress in healthcare and improve patient outcomes.

As the world faces pressing challenges like climate change, resource depletion, and social inequality, green innovation offers solutions to drive positive change for marginalized communities. By creating sustainable technologies, practices, and policies that are affordable and accessible to all, organizations can bridge the gap between environmental progress and social equity. These innovations reduce environmental footprints while providing economic opportunities, improving health outcomes, and enhancing the quality of life for underserved populations. Ensuring these benefits reach everyone, regardless of socio-economic status, will build a more inclusive and sustainable future.

Advancing Social Equity Through Accessible Green Innovation explores the latest advancements and methodologies that promote sustainable development. It examines the role of technological advancements such as AI, IoT, and blockchain in driving sustainability initiatives, with emphasis on actionable strategies and practices. This book covers topics such as environmental science, green management, and supply chains, and is a useful resource for business owners, policymakers, government officials, engineers, data scientists, academicians, and researchers.

By combining forestry with agriculture, agroforestry systems optimize the use of land while improving soil health, conserving water, and sequestering carbon. This multifaceted strategy provides farmers with diverse income sources and helps guard agricultural communities against the impacts of climate change, like extreme weather events and fluctuating crop yields. As the world seeks solutions to combat climate change and ensure food security, agroforestry offers a viable pathway toward a more sustainable, climate-resilient agricultural future. Further research may reveal the potential of agroforestry to contribute to both environmental conservation and the long-term well-being of farming communities.

Agroforestry for a Climate-Smart Future explores agroforestry's potential to revolutionize our approach to food production and environmental stewardship. It delves into the intricate ways in which agroforestry systems integrate trees and shrubs with crops and livestock, creating diverse, productive, and sustainable land-use systems. This book covers topics such as climatology, smart agriculture, and soil health, and is a useful resource for agriculturalists, climatologists, environmental scientists, academicians, and researchers.

With their anti-cancer properties, terpenes play a pivotal role in cancer treatment. They may be key in ongoing research for discovering potential avenues for further clinical exploration. They may be applied in clinical settings for targeting specific cancers and enhancing the body’s natural defense system. They may offer hope to individuals seeking alternative or complementary therapies for cancer treatment. From their natural origins to their potential applications in clinical settings, terpenes indicate promising prospects for the future.

Analyzing Terpenes' Role in Cancer Treatment explores the potential of terpenes in clinical cancer research and therapy. It provides a comprehensive and well-structured journey through the realm of terpenes in cancer research. Covering topics such as cancer therapeutics, gene drug delivery, and nanotechnology, this book is an excellent resource for clinicians, healthcare practitioners, oncologists, professionals, researchers, scholars, academicians, and more.

Large Language Models (LLMs) are redefining the landscape of cybersecurity, offering innovative methods for detecting software vulnerabilities. By applying advanced AI techniques to identify and predict weaknesses in software code, including zero-day exploits and complex malware, LLMs provide a proactive approach to securing digital environments. This integration of AI and cybersecurity presents new possibilities for enhancing software security measures.

Application of Large Language Models (LLMs) for Software Vulnerability Detection offers a comprehensive exploration of this groundbreaking field. These chapters are designed to bridge the gap between AI research and practical application in cybersecurity, in order to provide valuable insights for researchers, AI specialists, software developers, and industry professionals. Through real-world examples and actionable strategies, the publication will drive innovation in vulnerability detection and set new standards for leveraging AI in cybersecurity.

Remote sensing and Geographic Information Systems (GIS) have become indispensable tools for understanding our planet's complex systems and addressing a wide range of environmental, social, and economic challenges. With several environmental and social factors coming to a head, it is important that our society utilizes every tool at its disposal in order to identify these issues and make comprehensive action plans in order to avoid negative social and environmental consequences.

Applying Remote Sensing and GIS for Spatial Analysis and Decision-Making offers a comprehensive exploration of the applications of remote sensing, Geographic Information Systems (GIS), and emerging technologies in spatial analysis and decision-making across various domains. The book explores fundamental principles, methodologies, and advanced techniques pertinent to remote sensing and GIS, while also discussing the integration of emerging technologies such as unmanned aerial vehicles (UAVs), hyperspectral imaging, LiDAR, machine learning, and artificial intelligence (AI). Covering topics such as climate change modeling, land resources, and spatial data analysis, this book is an excellent resource for researchers and academicians, urban planners, practitioners, professionals, policy makers, postgraduate students and educators, and more.

Artificial general intelligence (AGI)-based drones emerge as powerful tools in the fight against climate change, offering innovative solutions for monitoring, data collection, and environmental management. Unlike traditional drones, which rely on pre-programmed responses, AGI-powered drones learn, adapt, and make autonomous decisions in dynamic environments. These advanced drones can be deployed for a wide range of climate-related tasks, from tracking deforestation and monitoring pollution levels to assessing natural disasters and aiding in wildlife conservation. By leveraging AGI’s capabilities, these drones enhance efficiency, precision, and scalability in addressing climate change challenges. AGI-based drones have the potential to revolutionize environmental monitoring and support sustainable practices, contributing to global climate change mitigation efforts.

Artificial General Intelligence-Based Drones for Climate Change explores how advanced technologies, particularly artificial general intelligence, can be leveraged to address the challenges posed by climate change. It delves into various facets of utilizing AGI-enabled drones to monitor, mitigate, and adapt to the impacts of climate change. This book covers topics such as biodiversity, environmental monitoring, and sensor technology, and is a useful resource for computer engineering, environmental scientists, academicians, and researchers.

The integration of artificial intelligence (AI) and data science (DS) into sustainability efforts is increasingly crucial as the world faces environmental and resource challenges. By leveraging advanced AI and DS techniques, we can create innovative solutions for sectors like energy, agriculture, and waste management, promoting long-term sustainability. These technologies have the potential to optimize processes, reduce environmental footprints, and support smarter decision-making across industries. Ultimately, AI and DS are key to advancing both the efficiency and impact of sustainability efforts, contributing to a more sustainable future for society at large.

Artificial Intelligence and Data Science for Sustainability: Applications and Methods explores the application of AI and DS techniques and methodologies in addressing various sustainability challenges. It brings together cutting-edge research, case studies, and practical applications that demonstrate how AI can be leveraged to promote sustainable development across diverse domains. Covering topics such as structural optimization, drone imagery, and development financing, this book is an excellent resource for computer scientists, computer engineers, urban planners, sustainability professionals, government officials, policymakers, researchers, professionals, scholars, academicians, and more.

Artificial intelligence is transforming software engineering by automating development, testing, deployment, and security processes, leading to more efficient and high-quality software solutions. AI-powered tools enhance scalability, reliability, and real-time analytics, enabling businesses to optimize operations and improve decision-making. As cloud-native architectures gain traction, AI-driven innovations are reshaping the way software is designed, maintained, and evolved, driving a new era of intelligent and adaptive technology solutions.

Artificial Intelligence for Cloud-Native Software Engineering explores the transformative impact of AI on the software engineering lifecycle, highlighting its role in automating and enhancing various stages of software development. It provides a comprehensive overview of how AI technologies can assist software architects and engineers in creating high-quality, enterprise-grade software efficiently. Covering topics such as source code creation, data security, and multiparameter optimization, this book is an excellent resource for software engineers, computer scientists, professionals, researchers, scholars, academicians, and more.

Assistive technology solutions enhance the quality of life for aging adults and individuals with disabilities. These innovative tools and devices support daily activities, improve independence, and promote social engagement. From mobility aids like walkers and wheelchairs to advanced communication devices and smart home technologies, assistive technologies cater to a wide range of needs. Continued research into this technology may help create more inclusive environments, ensuring aging adults and those with disabilities can participate in their communities.

Assistive Technology Solutions for Aging Adults and Individuals With Disabilities addresses the challenges faced by adults and individuals with disabilities through exploration of effective assistive tools. Various devices and technologies are examined, including their usefulness in creating a more inclusive community for those with disabilities and specialized healthcare needs. This book covers topics such as communication devices, mobility aids, and visual assistance, and is a useful resource for psychologists, sociologists, healthcare professionals, computer engineers, academicians, and researchers.

The global food security landscape is increasingly precarious, with the intricate interplay between water, energy, and food resources becoming more pronounced amid rising scarcity and environmental challenges. As demands for these essential resources escalate, the need for a comprehensive understanding of their interconnectedness has never been more urgent. Trade-offs between these sectors are emerging, highlighting the critical need for cross-sectoral efficiencies and strategic investment frameworks.

Balancing Water-Energy-Food Security in the Era of Environmental Change offers a comprehensive solution to this complex challenge. The book equips professionals and researchers with the tools needed to navigate the water-energy-food nexus by providing cutting-edge theoretical frameworks and empirical research findings. It offers strategic insights for agricultural enterprises, enabling them to forecast, plan, and control costs effectively, ultimately enhancing their disaster risk management and societal resilience strategies.

Battery-free sensor networks emerge as a pivotal technology for enabling sustainable, next-generation Internet of Things (IoT) connectivity. These networks leverage energy harvesting techniques, such as solar, thermal, or radiofrequency (RF) energy, to power sensors and devices, eliminating the need for traditional batteries. This reduces the environmental impact of battery disposal while extending the operational lifetime of IoT devices, making them more reliable and cost-effective. By harnessing energy sources, battery-free sensor networks hold the potential to revolutionize applications in smart cities, industrial monitoring, healthcare, and agriculture, contributing to the development of energy-efficient, self-sustaining IoT systems.

Battery-Free Sensor Networks for Sustainable Next-Generation IoT Connectivity explores contemporary developments in battery-free sensor networks and their pivotal role in advancing sustainable connectivity within the next-generation IoT landscape. It delves into the latest advancements, challenges, and applications of battery-free sensor technologies, offering insights into their design principles, energy harvesting techniques, communication protocols, and deployment strategies. This book covers topics such as healthcare monitoring, sensor technology, and sustainability, and is a useful resource for engineers, scientists, environmentalists, business owners, academicians, researchers, and security professionals.

Advancing bibliometric and peer review methodologies is critical for ensuring the integrity, transparency, and effectiveness of medical research. As research output grows, robust bibliometric tools and ethical peer review processes are essential for evaluating the quality and impact of scientific studies. Addressing challenges such as metric consistency, ethical use of AI, and combating academic dishonesty fosters a more reliable and equitable academic environment. These efforts not only uphold the standards of medical research but also enhance public trust and ensure that advancements in healthcare are built on a foundation of rigor and fairness.

Bibliometric and Peer Review Methodology for Medical Research examines advanced bibliometric and peer review methodologies, addressing critical challenges in evaluating and maintaining the quality of medical research. It provides a comprehensive framework for improving the integrity and reliability of research evaluation processes in the medical field. Covering topics such as access policies, meta-bibliometric analysis, and technological innovation, this book is an excellent resource for researchers, scholars, graduate and postgraduate students, publishers, journal editors, academic administrators, policymakers, information scientists, librarians, AI and blockchain developers, and more.

The world faces unprecedented environmental challenges due to the extensive overuse of materials in modern society. This ecological crisis has led to pollution, resource depletion, and climate change, highlighting the urgent need for sustainable solutions. Developing and implementing solutions for environmental sustainability requires an understanding of fragmented disciplines.

Biomaterials Engineering and Green Chemistry for Sustainability offers a comprehensive approach to address these challenges. By bringing together research and insights from materials science, chemistry, engineering, and environmental science, this book provides a platform for interdisciplinary collaboration. This book is a vital resource for researchers, professionals, policymakers, and students seeking to make as positive impact on the environment. It provides a deep dive into critical topics and inspires readers to incorporate sustainable practices into their work and daily lives.

The rapid advancements in materials science are transforming the biomedical engineering and medical fields, leading to innovations like polymers, nanoparticles, biomaterials, and metal ions that hold great promise for drug delivery, tissue engineering, and diagnostic imaging. These materials offer groundbreaking potential but raise important concerns about their toxicity and biocompatibility, which must be addressed to ensure their safe integration into medical applications. Understanding how these materials interact with the human body is critical for developing effective, safe therapies and technologies. The ongoing research in this area has the potential to revolutionize healthcare, enhancing the treatment and prevention of various diseases while minimizing harmful side effects.

Biomedical Applications and Toxicity of Polymers, Nanoparticles, Biomaterials, and Metal Ions provides a comprehensive overview of the biomedical applications and potential toxicity of various materials used in the field. It bridges the gap between laboratory research and clinical practice, facilitating the translation of research into practical solutions. Covering topics such as biomaterials, nanotechnology, and targeted therapy, this book is an excellent resource for researchers, scientists, medical professionals, policymakers, students, academicians, and more.

Industrial and pharmaceutical wastewater can greatly benefit by advances in biotechnological approaches. By using various treatment technologies such as Biological Aerated Filters (BAFs), activated sludge systems, Membrane Bioreactors (MBRs), and anaerobic digestion, industrial and pharmaceutical may increase the effectiveness of their treatments. Emerging biotechnologies such as enzyme-assisted treatment, algae-based systems, and innovative bioremediation techniques are important for the effective development of sustainable wastewater management practices.

Biotechnology Approaches to Industrial and Pharmaceutical Wastewater Treatment seeks to advance the implementation and optimization of wastewater treatment technologies by discussing the integration of green chemistry principles, circular economy concepts, and eco-friendly practices in wastewater management, along with eco-friendly methods like constructed wetlands and phytoremediation. By presenting the latest developments and emerging technologies, as well as addressing challenges and providing strategies for overcoming them, the book stimulates further research and innovation in the field of wastewater treatment. Covering topics such as microbial consortia, synergistic approaches, and heavy metal, this book is an excellent resource for industry practitioners, policymakers, non-governmental organizations, professionals, researchers, scholars, academicians, and more.

Organizations worldwide grapple with the complexities of incorporating machine learning into their business models while ensuring sustainability. Decision-makers, data scientists, and business executives face the challenge of navigating this terrain to drive innovation and maintain a competitive edge. Building Business Models with Machine Learning provides a comprehensive solution, offering practical insights and strategies for integrating machine learning into organizational plans. By bridging the gap between theory and practice, we empower readers to leverage machine learning effectively, enabling them to develop resilient and flexible business models.

The book serves as a vital resource for those seeking to understand the nuances of sustainable management in a volatile, uncertain, complex, and ambiguous (VUCA) world. It addresses key challenges such as irrational decision-making and the need for adaptive systems in modern business environments. Through a combination of theoretical frameworks and empirical research findings, our book equips readers with the knowledge and tools needed to navigate these challenges successfully. Whether you are a seasoned professional, a postgraduate MBA program, or a managerial sciences student, this book offers invaluable insights that will significantly enhance your understanding and application of machine learning in business models.

Sustainability and inclusive development challenges are significant in today's rapidly evolving world. The post-COVID-19 era has highlighted the urgent need for solutions to pressing issues such as biodiversity loss, climate change, and economic inequality. Academics, researchers, and policymakers strive to find answers, and a comprehensive resource offering insights into these complex problems and presenting practical solutions is indispensable.

Focusing on building inclusive global knowledge societies, Building Inclusive Global Knowledge Societies for Sustainable Development provides a holistic view of the challenges and opportunities in sustainable development. It covers a wide array of topics, including clean water access, climate action, digital innovation, and sustainable finance, offering up-to-date trends and practices for navigating the complexities of the post-pandemic world. For academics and researchers seeking a deeper understanding of these issues, this book serves as a valuable guide, presenting the latest research and insights from experts in the field.

Emerging technologies such as blockchain, artificial intelligence (AI), digital twins, and advanced internet of things (IoT) sensors are transforming cities into intelligent, interconnected ecosystems through applications such as smart parking, smart healthcare, and smart education. These systems rely on IoT devices and gateways to collect, process, and analyze data for optimizing smart city functions, with advancements shifting from 5G to 6G technology. While these innovations promise to revolutionize urban environments, ensuring security and privacy in 6G infrastructure remains a critical challenge for realizing the full potential of smart cities.

Building Tomorrow's Smart Cities With 6G Infrastructure Technology explores the profound impact of emerging technology-enabled secure 6G infrastructure on the creation of futuristic smart cities. It provides relevant theoretical frameworks and the latest empirical research findings. Covering topics such as AI, heritage cities, and web3, this book is an excellent resource for industry professionals, researchers, policymakers, academicians, students, and more.

The urgent need for sustainable solutions to combat climate change and promote environmental stewardship has reached a critical juncture in our rapidly changing world. As industries grapple with the consequences of unchecked carbon emissions and a growing waste crisis, academic scholars, researchers, and professionals face an ever-increasing demand for innovative approaches. The transition from petroleum-derived materials to eco-friendly alternatives, along with the establishment of a recycling-oriented society, presents a complex challenge that demands immediate attention and action.

Building a Low-Carbon Society Through Applied Environmental Materials Science is a transformative book that stands as a beacon of hope and knowledge for those seeking answers to the pressing environmental issues of our time. It offers a comprehensive roadmap to navigate the intricate web of low-carbon technologies and materials science. Through a collection of meticulously curated chapters, this book empowers readers with the insights, ideas, and innovations needed to address the challenges head-on.

Cancer affects millions of lives worldwide, not only impacting those diagnosed but also their families, caregivers, educators, and healthcare providers. Understanding the emotional, social, and systemic challenges that come with a cancer diagnosis is essential for improving care, support, and education. By giving voice to survivors, caregivers, and professionals, society can foster a more compassionate, informed approach to cancer treatment and its broader implications. Addressing disparities in healthcare, the role of stress, and the management of grief can help communities navigate the complexities of cancer care with greater awareness and resilience. Creating spaces for reflection and shared experiences strengthens our collective ability to support those affected and advance more equitable and holistic care solutions.

Cancer Diagnosis, Treatment and Care: Reflections for the Education of Survivors and Healthcare Providers provides a platform for cancer patients, survivors, and those who have experienced grief to share their voices with professionals in education, healthcare, and public service. Through reflective narratives and research-informed insights, it explores cancer diagnosis, treatment, and care while fostering awareness, understanding, and potential solutions. Covering topics such as cancer imaging, immunity cell components, and family-centered care, this book is an excellent resource for oncologists, healthcare providers, professionals, researchers, scholars, academicians, and more.

Artificial intelligence (AI) has emerged as a powerful tool in addressing pressing environmental challenges. From climate change and biodiversity loss to pollution and resource management, AI-driven solutions transform how we understand and mitigate environmental risks. By utilizing vast amounts of data, AI technologies can optimize energy consumption, predict climate patterns, track deforestation, and identify areas for conservation, while enhancing the efficiency of renewable energy systems and waste management strategies. These innovations offer improved approaches to environmental conservation while providing valuable insights for policymakers and businesses looking to adopt sustainable practices. As AI continues to evolve, its potential to drive meaningful changes in environmental sustainability improves, and further exploration of these solutions may build a more resilient and sustainable future.

Cases on AI-Driven Solutions to Environmental Challenges explores the transformative role of AI in promoting sustainability across various fields. It delves into case studies that demonstrate innovative applications of AI in addressing environmental challenges, improving resource efficiency, and fostering sustainable development. This book covers topics such as data science, green chemistry, and sustainable development, and is a useful resource for environmental scientists, computer engineers, conservationists, academicians, and researchers.

Addressing health disparities in medical education is crucial to ensuring equitable patient care and reducing systemic biases in healthcare. Traditional teaching methods often unintentionally reinforce stereotypes, which can perpetuate inequities rather than dismantle them. By incorporating frameworks that promote introspection and cultural responsibility, educators can help future healthcare professionals recognize and address their implicit biases. This approach fosters a more inclusive and ethical medical practice, ultimately improving health outcomes for historically marginalized communities.

Cases on Physician Cultural Responsibility, Ethics, and Biases provides material for instructors utilizing Physician Cultural Responsibility (PCR) within the classroom. It encompasses cases around multiple different areas of identity, equitable care, ethical issues, and the impact of physician burnout. Covering topics such as gender and sexual orientation, patient-physician relationships, and stigma, this book is an excellent resource for physicians, medical professionals, social justice advocates, professionals, researchers, scholars, academicians, and more.

In the landscape of security, safety, and risk management, businesses grapple with challenges that extend beyond traditional financial considerations. The identification, analysis, and control of risks are pivotal elements for a business's sustainability, yet a comprehensive understanding of these components remains elusive. Stakeholders, including students, scholars, and practitioners, yearn for a resource that not only highlights the timeliness of risk management. Cases on Security, Safety, and Risk Management is the ideal resource for businesses navigating the complex landscape of risk. It positions security and safety as integral components of successful business practices.

The prevailing notion that security is merely peripheral to business operations needs to be reshaped. The challenge lies in bridging this knowledge gap and offering insights that address the intricacies of risk management, fostering a paradigm shift in how businesses approach security and safety concerns. Businesses need a comprehensive exploration that goes beyond financial considerations, encompassing the identification, analysis, evaluation, mitigation, and control of risks that profoundly impact their survival and prosperity.

The integration of human rights, social responsibility, and technical innovation acquires significant importance in the current era of digital transformation. As technology rapidly evolves, it profoundly influences societal structures, economic systems, and individual lives. It is essential to examine the impact of digital transformation on human rights and social responsibility, and emphasize the importance of striking a balance that upholds individual rights while leveraging technological advances for the benefit of society as a whole.

Challenges for Digital Citizenship and Ethics: Social Media, Deep Fakes, and Virtual Communities analyzes the implications of digitalization on human rights and social responsibility. By adopting a multidisciplinary approach, this research combines perspectives from the fields of digital ethics, information technology, law, and social sciences. It examines the impact of digital technologies on privacy and data rights, assess the strategies utilized by corporations in the digital age to uphold human rights, and explore the policy and legal frameworks required to assure the ethical adoption of technology. Covering topics such as cybercrimes, digital literacy, and societal dynamics, this book is an excellent resource for policymakers, sociologists, researchers, academicians, educators, students, and more.

Chatbots are emerging as a transformative tool in the field of mental healthcare, offering innovative solutions for supporting individuals in psychology and psychiatry. With their ability to provide accessible, real-time assistance, chatbots are being integrated into therapeutic practices, serving as support for patients managing mental health challenges. By utilizing artificial intelligence, natural language processing, and cognitive behavioral techniques, chatbots can deliver personalized care, monitor symptoms, and offer coping strategies in a confidential setting. Chatbots also help reduce barriers to care, enhance treatment adherence, and expand mental health services to in-need populations. As technology evolves, the potential for chatbots to play a role in mental health care grows, offering opportunities and challenges for the future of psychological and psychiatric treatment.

Chatbots and Mental Healthcare in Psychology and Psychiatry examines the advancements and development of chatbots in the field of psychology and psychiatry, exploring their potential applications and impact. It offers practical solutions to address the challenges of intelligent technology integration in mental healthcare through the use of tools like ChatGPT, AI, and machine learning. This book covers topics such as cognitive science, mental health, data security and privacy, and is a useful resource for computer engineers, data scientists, psychologists, academicians, and researchers.

Artificial Intelligence (AI) has transformative potential in shaping the future of urban living. AI-driven initiatives are revolutionizing various aspects of smart city development, from infrastructure optimization to environmental sustainability. At the heart of this lies the concept of citizen-centric design, where AI technologies are harnessed to prioritize the needs, preferences, and well-being of urban communities across key domains such as transportation, energy management, public safety, healthcare, and governance. An emphasis on ethical considerations in AI deployment, including privacy protection, transparency, accountability, and inclusivity, is critical for ensuring that AI technologies are developed and deployed in a manner that respects the rights and dignity of urban residents.

Citizen-Centric Artificial Intelligence for Smart Cities provides insights into the role of AI in shaping smart city development and offers policy recommendations for leveraging AI to improve urban governance, service delivery, and citizen engagement. This comprehensive analysis uncovers the ways in which AI-based services are reshaping the urban landscape and empowering citizens to actively participate in the co-creation of their cities, inspiring the exploration of new avenues and the development of innovative solutions to address urban challenges. Covering topics such as robotic communication, disaster situational awareness, and data governance, this book is an excellent resource for policymakers, government officials, computer scientists, professionals, researchers, scholars, academicians, and more.

Smart devices in healthcare can interact with the environment by gathering, processing, interpreting, storing, and retrieving information originated from sensors, neuromorphic analog circuits, robots, and other data retrieving sources through explainable AI, Internet of Things, gestural technology, and federated learning. These systems can utilize visual languages to improve communication with people in real-life scenarios, such as intelligent devices which recognize patterns. Such languages, combined with intelligent, experience-based, healthcare systems, fall in the area of visual intelligence, empowering people to understand how machines process the data smart healthcare devices. The combination of smart healthcare and visual intelligence with federated learning may give rise to new applications in fields as diverse as healthcare, education, marketing, gaming, and automation.

Combining Visual Intelligence and Federated Learning in Smart Healthcare explores research areas that connect visual information processing with intelligence, federated learning, and the Internet of Things, promoting their integration and exciting new developments. It examines theories, practices, and experiences in the field of smart healthcare for visual intelligence with federated learning. This book covers topics such as artificial intelligence, predictive analytics, and smart technology, and is a useful resource for medical professionals, business owners, healthcare workers, computer engineers, data scientists, academicians, and researchers.

Climate justice is a crucial issue, particularly for Indigenous communities that are disproportionately affected by environmental changes despite contributing the least to global emissions. Achieving sustainability and social justice requires an inclusive approach that considers diverse policies, cultural perspectives, and methodological interventions. As globalization deepens interconnectivity, addressing climate justice through equitable policies, climate finance, and community-driven solutions becomes essential for ensuring a just and sustainable future. Examining both policy gaps and actionable solutions can help create frameworks that protect vulnerable populations while advancing global sustainability goals.

Community Climate Justice and Sustainable Development explores the intersection of climate justice, Indigenous rights, and sustainable development, highlighting the policies and actions needed to achieve social and environmental equity. By analyzing case studies, policy frameworks, and financial mechanisms, it provides a comprehensive discussion on bridging the gap between climate commitments and real-world impact. Covering topics such as climate migrants, tribal rights, and indigenous knowledge, this book is an excellent resource for social justice advocates, environmentalists, policymakers, professionals, researcher, scholars, academicians, and more.

Communities around the world face an array of unprecedented challenges from climate change. From extreme weather events to biodiversity loss and resource scarcity, the impacts of climate change are far-reaching and multifaceted. Yet, amidst these challenges lies an opportunity for communities to build resilience and chart a path towards sustainable development. However, navigating this complex terrain requires actionable strategies, innovative approaches, and interdisciplinary collaboration.

Community Resilience and Climate Change Challenges: Pursuit of Sustainable Development Goals (SDGs) emerges as a beacon of hope in addressing these pressing issues. By delving into the critical intersection of community resilience and the pursuit of SDGs, this book offers a comprehensive guide for empowering communities to adapt and thrive amidst climate uncertainties. Through a diverse range of practical strategies, case studies, and innovative approaches, it equips decision-makers, practitioners, and educators with the knowledge and tools needed to tackle the complex challenges of climate change and sustainable development.

The integration of computer vision into agriculture addresses critical societal challenges, including food security and environmental sustainability. By enabling precise crop monitoring, early disease detection, and resource-efficient farming practices, it helps optimize food production to meet the needs of a growing global population. This technology also reduces waste and minimizes environmental impact, contributing to more sustainable agricultural systems. Furthermore, it supports farmers by improving decision-making and enhancing productivity in the face of climate change and resource limitations. Overall, computer vision plays a key role in creating resilient food systems essential for a sustainable future.

Computer Vision Techniques for Agricultural Advancements explores the dynamic intersection of computer vision, artificial intelligence (AI) and agriculture, offering a comprehensive overview of the latest trends, challenges, and opportunities in this rapidly evolving field. Through a series of in-depth chapters, it examines various applications of computer vision across different stages of agricultural production and management, showcasing its impact on productivity, efficiency, and sustainability. Covering topics such as AI, food safety, and yield prediction, this book is an excellent resource for researchers, academicians, agricultural engineers and technologists, agribusiness professionals, graduate and postgraduate students, technology developers, policymakers, consultants, educators, and more.

The constantly evolving healthcare industry has experienced tremendous technological advancements that have significantly revolutionized medical imaging. However, with the increasing volume and complexity of medical image data, existing analysis methods must also be updated to be efficient and accurate. This is where the challenge lies—a need for a comprehensive solution that bridges the gap between cutting-edge technology and effective healthcare delivery.

Computer-Assisted Analysis for Digital Medicinal Imagery offers a roadmap for navigating the intricate landscape of digital medicinal imagery analysis. Unlocking the power of machine learning and breaking down the basics provides researchers, clinicians, and students with the tools necessary to harness technology and improve healthcare outcomes.

The convergence of artificial intelligence (AI), education, and business presents an opportunity to drive sustainability across industries and societies. As the world faces complex environmental, social, and economic challenges, AI offers innovative solutions to optimize resource usage, streamline business operations, and enhance decision-making processes for sustainable outcomes. In education, AI enables personalized learning experiences, equipping future generations with the knowledge and skills needed to tackle sustainability challenges. Businesses adopt AI to innovate sustainable products and services, reduce carbon footprints, and create a circular economy. This intersection between AI, education, and business reshapes how sustainability is approached while creating a new framework for collaboration, where technology, learning, and commerce work in harmony to build a more sustainable and equitable future.

Convergence of AI, Education, and Business for Sustainability explores successful, scalable, and replicable AI applications that contribute to sustainability goals. It bridges the gap between theoretical AI advancements and practical sustainability solutions, encouraging further innovation, investment, and interdisciplinary research in this critical area. This book covers topics such as environmental science, green business, and human resources, and is a useful resource for environmentalists, business owners, educators, academicians, computer engineers, data scientists, and researchers.

In a rapidly evolving technological landscape, the integration of antenna technologies, electronics, and artificial intelligence (AI) poses a significant challenge: the complexity of these converging domains often surpasses the capacity of traditional educational resources and has been an area of research that is largely understudied. This creates a challenge for researchers attempting to gain a full understanding of the issue, as the lack of cohesive literature that bridges the gaps between these disciplines is significant. Researchers, engineers, and enthusiasts are hampered in their efforts to grasp the full potential of this convergence.

Convergence of Antenna Technologies, Electronics, and AI offers a unique perspective to this problem by synthesizing the fundamental principles, cutting-edge advancements, and practical applications of these interconnected domains. This book serves as a comprehensive guide for navigating the complexities of this multidisciplinary frontier. It provides a cohesive framework that not only elucidates the interconnections between antennas, electronics, and AI but also empowers readers to leverage this knowledge in developing transformative innovations.

The convergence of cybersecurity and cloud computing is crucial for protecting data and ensuring the integrity of digital systems in an increasingly interconnected world. As cloud computing continues to grow, so does the need for robust security measures to address vulnerabilities in these environments. Understanding how to secure cloud deployments is essential for businesses, organizations, and individuals to safeguard sensitive information and maintain trust in digital services. By addressing the unique security challenges posed by cloud computing, society can better adapt to the evolving landscape of digital threats and ensure the safety of critical infrastructure.

Convergence of Cybersecurity and Cloud Computing is a comprehensive resource to navigate the link between cybersecurity and cloud computing. It discusses the unique security challenges that arise from cloud environments. Covering topics such as artificial intelligence, data protection, and threat detection, this book is an excellent resource for academicians, research scholars, IT professionals, security experts, faculty, and more.

In recent years, the convergence of the Internet of Medical Things (IoMT) and Generative Artificial Intelligence (AI) has revolutionized healthcare delivery, offering unprecedented opportunities to enhance patient care, improve clinical outcomes, and optimize healthcare systems globally. IoMT based smart healthcare system is a collection of several smart medical equipment including wearable devices and apps connected within the network to provide health information. Generative AI revolutionizes global health in areas like medical data synthesis, image enhancement, disease prediction and diagnosis, drug discovery, medical documentation, and personalized healthcare. It offers opportunities to overcome data scarcity and privacy concerns through synthetic data generation and supports accurate disease interpretation and diagnosis through image quality enhancement. However, as IoMT and Generative AI continue to be used across healthcare systems, it is critical to examine their impact on global health, considering diverse socio-economic contexts, cultural sensitivities, and ethical implications.

Convergence of Internet of Medical Things (IoMT) and Generative AI explores recent advancements in IoMT and generative AI, with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those technologies. It provides insights on how to develop IoMT and generative AI technologies to meet smart business and society development demands, especially in the healthcare field. This book covers topics such as medical technology, wearable technology, and data science, and is a useful resource for medical and healthcare professionals, scientists, engineers, academicians, and researchers.

The current healthcare framework, often characterized by standardized treatments and one-size-fits-all approaches, falls short in addressing the unique genetic compositions, lifestyles, and environmental factors that influence individual patient outcomes. This gap necessitates a radical reevaluation of healthcare practices, from reshaping infrastructure to redefining the roles of patients and doctors. The challenges are formidable, requiring critical reflection and bold initiatives to overcome obstacles and pave the way for a future where patient-centered care seamlessly integrates with population health management, leveraging data, technology, ethics, and collaboration for a global healthcare revolution. Convergence of Population Health Management, Pharmacogenomics, and Patient-Centered Care is a book that unveils a comprehensive exploration of solutions and pathways towards this transformative vision.

This comprehensive guide is tailored for academic scholars, healthcare professionals, and students navigating the landscape of personalized medicine, population health management, and the digitalization of healthcare. Authored by leading experts, the book aims to serve as a compendium of terms, definitions, and in-depth explanations of key concepts. Its objectives include supporting students in understanding healthcare domains, aiding healthcare professionals in meeting patient needs, assisting patients in deriving more benefits from their healthcare, and guiding e-health systems' designers and managers in grounding practices on the science of individuality.

Generative Adversarial Networks (GANs) are transforming the field of artificial intelligence by enabling the creation of highly realistic images, pushing the boundaries of creativity and automation. These models have vast applications, from art and design to medical imaging and data augmentation, offering new possibilities across industries. Understanding GANs is essential for harnessing their potential while addressing challenges like ethical considerations and model biases. As AI-generated content becomes more prevalent, mastering these technologies will be crucial for researchers, developers, and creatives shaping the future of digital innovation.

Crafting Images With Generative Adversarial Networks (GANs) and Models demystifies the complexities of GANs and provides a solid foundation for understanding and leveraging these powerful generative models. It also explores real-world applications of GANs across diverse domains, including art generation, image editing, and content creation. Covering topics such as photorealism, text-to-image, and attention mechanisms, this book is an excellent resource for data scientists, computer vision researchers, AI engineers, graphic designers, media professionals, industry practitioners, professionals, researchers, scholars, academicians, and more.

Honor killing is mainly practiced in South Asian, Middle East and Arab countries but it has global ramifications as citizens migrate to Western European countries and North America. Honor killings and honor related crimes often diminish women’s dignity and the achievements of feminist movements, along with other citizens along the gender spectrum. The socio-psychological issues of honor killings influence further study into gender and sexuality, diversity, culture and population, criminology, and law. A comparative study of the laws of various countries related to honor killing may help showcase the descent of caste and religious prejudices across generations.

Criminological Analyses on Global Honor Killing analyzes the impact of honor-based crimes around the world. The book explores the ideology behind honor killing as well as the role of patriarchal societies in enhancing the crime. It also covers socio-cultural based influences while further understanding the complexity of family dynamics, class conflicts, and immigration in relation to this crime. This book covers topics such as criminology, feminism, and sociology, and is a useful resource for criminologists, historians, policymakers, government officials, theologists, feminists, academicians, and researchers.

As phishing attacks become more sophisticated, organizations must use a multi-layered approach to detect and prevent these threats, combining advanced technologies like AI-powered threat detection, user training, and authentication systems. Protecting digital assets requires strong encryption, secure access controls, and continuous monitoring to minimize vulnerabilities. With the growing reliance on digital platforms, strengthening defenses against phishing and ensuring the security of digital assets are integral to preventing financial loss, reputational damage, and unauthorized access. Further research into effective strategies may help prevent cybercrime while building trust and resilience in an organization's digital infrastructure.

Critical Phishing Defense Strategies and Digital Asset Protection explores the intricacies of phishing attacks, including common tactics and techniques used by attackers. It examines advanced detection and prevention methods, offering practical solutions and best practices for defending against these malicious activities. This book covers topics such as network security, smart devices, and threat detection, and is a useful resource for computer engineers, security professionals, data scientists, academicians, and researchers.

An established understanding of cybersecurity and its counter parts, including cryptography and biometrics, is vital for increasing and developing security measures. As technology advances, it is imperative to stay up to date on the topic in order to increase awareness of emerging cyber threats and malware as well as prevent more sophisticated cyber-attacks. This knowledge can then be used to develop and update malware analysis, privacy-enhancing technologies, and anonymity for defending computers, servers, mobile devices, electronic systems, networks, and data from malicious attacks.

Cryptography, Biometrics, and Anonymity in Cybersecurity Management aims to cover all essential topics of cybersecurity and cybersecurity management, with a focus on reporting on cybersecurity security issues and cybersecurity risk management as well as the latest research results, and real-world deployment of security countermeasures. Covering topics such as defense strategies, feature engineering, and face recognition, this book is an excellent resource for developers, policymakers, cybersecurity providers, cybersecurity analysts, forensic scientists, professionals, scholars, researchers, academicians, and more.

In the dynamic realm of data mining and machine learning, staying ahead requires more than just knowledge—it demands understanding the latest advancements, practical applications, ethical considerations, and future trends. The gap between theory and practice poses a challenge, and the potential biases, privacy concerns, and lack of interpretability in algorithms further complicate matters.

Cutting-Edge Techniques for Effective Data Mining and Machine Learning delves into the algorithms of data-driven decision-making, gaining an understanding of the methodologies propelling the field forward. This book bridges theoretical concepts and practical applications, offering a holistic perspective that connects the theoretical underpinnings of advanced algorithms with their tangible impact on real-world scenarios. This book emphasizes cross-disciplinary collaboration, and features contributions from diverse industries and disciplines. These diverse voices dive into how data mining and machine learning transcend conventional boundaries, fostering innovation and insights across sectors. Ethical considerations are at the forefront, addressing potential biases, privacy concerns, and fairness issues inherent in these technologies. The book sheds light on these challenges and presents strategies for responsible artificial intelligence (AI) practices. This book is ideal for researchers, practitioners, educators, and students.

In today’s digital landscape, data governance, DevSecOps, and advancements in modern software development have become critical in secure and efficient technology ecosystems. As organizations rely on large amounts of data and sophisticated software systems to drive innovation and business success, the need for improved frameworks to manage, protect, and optimize this data increases. Data governance ensures data is accurate, secure, and compliant with regulations, while DevSecOps, an integrated approach to development, security, and operations, empowers teams to build, test, and utilize software with security embedded through its lifecycle. Along with the latest advancements in modern software technologies, these concepts form the foundation for building resilient, secure, and scalable applications. The intersection of these practices shapes the future of how software is developed, deployed, and governed, and further research may provide both opportunities and challenges for connection.

Data Governance, DevSecOps, and Advancements in Modern Software explores the integration of key technologies and methodologies that define the modern digital landscape, with a focus on DataOps, DevSecOps, data governance, and software architecture. It provides a comprehensive guide to managing data workflows and enhancing operational efficiency while embedding security at every stage of the development lifecycle. This book covers topics such as data science, artificial intelligence, and resilient systems, and is a useful resource for data scientists, engineers, software developers, business owners, researchers, and academicians.

The integration of generative AI and deep learning techniques for Alzheimer's disease detection significantly impacts the research community by advancing diagnostic accuracy and providing a comprehensive understanding of the disease. By combining multiple data modalities, including imaging, genetics, and clinical data, researchers can improve diagnostic precision and develop personalized treatment strategies. Generative AI facilitates efficient data utilization through dataset augmentation, fostering innovation and collaboration across interdisciplinary fields. These methodologies forward the exploration of new diagnostic tools while expediting their application in clinical practice, benefiting patients through early detection and intervention. The incorporation of generative AI may enhance research capabilities, promote collaboration, and improve Alzheimer's disease management and patient outcomes.

Deep Generative Models for Integrative Analysis of Alzheimer's Biomarkers explores the integration of deep generative models in disease diagnosis, biomarking, and prediction. It examines the use of tools like data analysis, natural language processing, and machine learning for effective Alzheimer’s research. This book covers topics such as data analysis, biomedicine, and machine learning, and is a useful resource for computer engineers, biologists, scientists, medical professionals, healthcare workers, academicians, and researchers.

Deep learning innovations play a crucial role in securing critical infrastructures, offering advanced solutions to protect vital systems from sophisticated cyber threats. By leveraging neural networks and advanced algorithms, deep learning enables real-time anomaly detection, pattern recognition, and predictive threat analysis, which are essential for safeguarding critical sectors such as energy, transportation, healthcare, and finance. These technologies can identify vulnerabilities, respond to breaches, and adapt to new attacks, providing a strong defense against cyber risks. As the digital landscape becomes more interconnected, the integration of deep learning into cybersecurity strategies will enhance resilience while ensuring the safe operation of essential services.

Deep Learning Innovations for Securing Critical Infrastructures explores the cutting-edge integration of neural networks and artificial intelligence (AI) in modern cybersecurity systems. It examines how AI, particularly neural network models, is revolutionizing cybersecurity by automating threat detection, analyzing complex data patterns, and implementing proactive defense mechanisms. This book covers topics such as blockchain, cloud computing, and event management, and is a useful resource for business owners, computer engineers, data scientists, academicians, and researchers.

Deep learning is revolutionizing the analysis of medical signals and images, offering unprecedented advancements in diagnostic accuracy and efficiency. Techniques such as convolutional and recurrent neural networks are transforming the processing of radiological scans, ultrasound images, and ECG readings. By enabling more detailed and precise interpretations, deep learning enhances the ability of healthcare providers to make timely and informed decisions. These innovations are reshaping medical workflows, improving patient outcomes, and paving the way for a future of more reliable and efficient healthcare solutions.

Deep Learning in Medical Signal and Image Processing offers a comprehensive examination of deep learning, specifically through convolutional neural networks (CNNs) and recurrent neural networks (RNNs), to medical data. It explores the application of AI in the analysis of medical signals and images. Covering topics such as diagnostic accuracy, enhanced decision-making, and data augmentation techniques, this book is an excellent resource for medical practitioners, clinicians, data scientists, AI researchers, healthcare professionals, engineers, professionals, researchers, scholars, academicians, and more.

Supramolecular systems offer a versatile approach to solving complex challenges in science and technology. These systems allow for the creation of highly organized structures with dynamic and reversible properties. Unveiling the complexities of supramolecular chemistry helps unlock their potential in real-world applications, spanning fields like drug delivery, materials science, environmental science, and nanotechnology. By harnessing the principles of self-assembly and molecular recognition, supramolecular systems can be engineered to perform specific tasks with precision, providing solutions like sustainable energy, personalized medicine, and pollution control. Understanding these systems may advance their practical use, bridging the gap between research and real-world application.

Demystifying the Complexities of Supramolecular Systems: Real World Applications explores transformations occurring in the realm of chemistry. It examines isolated molecules and supramolecular systems, shedding light on the pivotal role of molecular self-assembly and non-covalent interactions. This book covers topics such as chemical science, nanomedicine, and sustainable development, and is a useful resource for scientists, chemists, engineers, academicians, environmentalists, and researchers.

Natural Language Processing (NLP) is transforming mental health care by enabling early detection, diagnosis, and intervention for conditions such as depression, PTSD, and suicidal ideation. Advanced AI models like BioBERT and Med-BERT help analyze speech patterns, cognitive behaviors, and psychological markers to support medical practitioners in providing more effective and timely care. By leveraging deep learning and AI-driven assessments, NLP can enhance behavioral monitoring, improve treatment personalization, and optimize mental health interventions. As global mental health challenges continue to rise, integrating NLP into healthcare systems presents a crucial step toward more accessible, data-driven, and proactive mental health support.

Demystifying the Role of Natural Language Processing (NLP) in Mental Health explores the latest advancements in NLP for mental health care, highlighting its role in diagnosing and treating conditions like depression, PTSD, and suicidal ideation. It examines AI-driven models, speech analysis, and behavioral monitoring techniques that enhance early intervention and personalized treatment strategies. Covering topics such as suicidal identification, emotional recognition, and patient response, this book is an excellent resource for mental health practitioners, medical practitioners, social workers, computer scientists, professionals, researchers, scholars, academicians, and more.

Wearable antennas have gained significant attention in recent years due to their potential applications in healthcare and internet of things (IoT). These antennas are designed to be integrated into wearable devices such as smartwatches, fitness trackers, and medical sensors, allowing them to communicate wirelessly with other devices. These technologies can be used to provide real-time data and feedback on a variety of physiological and environmental parameters, which can be used to improve health outcomes, increase efficiency in various industries, and promote overall well-being.

Design and Simulation of Wearable Antennas for Healthcare explores various aspects of wearable antenna technology, with a focus on their design and simulation. The book delves into the innovative concepts of energy-harvesting antennas, which can power wearable devices using energy from the environment or the human body, eliminating the need for external batteries. Covering topics such as mobile health systems, healthcare devices, and human-centric networking, this book is an essential resource for academicians, graduate and postgraduate students, scientists, industry professionals, medical professionals, researchers, and more.

Advancements in medical device technology are revolutionizing healthcare by improving diagnostic accuracy, treatment options, and patient monitoring. These innovations enable earlier detection of diseases, enhance the precision of medical procedures, and contribute to better overall patient outcomes. By integrating engineering, clinical insights, and regulatory frameworks, the development of cutting-edge medical devices addresses critical gaps in healthcare accessibility and quality. This progress not only fosters more efficient healthcare systems but also drives economic growth and innovation across the medical and technology sectors. Ultimately, these advancements play a vital role in shaping a healthier and more technologically advanced society.

Design, Development, and Deployment of Cutting-Edge Medical Devices explores the multifaceted process involved in bringing advanced medical technologies from concept to reality. It provides a comprehensive overview of the engineering, regulatory, and clinical aspects that are essential in the creation and implementation of these devices. Covering topics such as anesthesiology, healthcare companies, and wellness products, this book is an excellent resource for researchers, academicians, engineers, technologists, healthcare professionals, regulatory experts, compliance officers, policymakers, healthcare administrators, students and trainees, and more.

Nanostructured materials are revolutionizing various industries with their unique properties. Yet, researchers and practitioners need help accessing comprehensive and up-to-date literature on their synthesis, characterization, and applications. Existing books often focus narrowly on synthesis methods, overlooking critical aspects such as design, spectroscopic characterization techniques, and diverse applications in electronics, optoelectronics, biomedical devices, and more. This gap in the literature leaves academics, researchers, and industrial scientists needing a comprehensive resource to address their pressing questions and needs in the field.

Design, Fabrication, and Significance of Advanced Nanostructured Materials bridges this gap by offering a holistic approach to understanding these materials. It provides in-depth coverage of the latest synthetic approaches, spectroscopic characterization techniques, and advanced applications in various fields. With ten chapters covering a wide range of topics, from the basics of nanostructured materials to advanced fabrication techniques, this book serves as a one-stop resource for anyone looking to delve into this exciting field. This book aims to empower researchers and industrialists with the knowledge to innovate and advance in their fields by providing clear explanations and solutions to critical questions surrounding nanostructured materials.

Smart sustainability offers hope for addressing global environmental and societal challenges in a world rapidly transformed by technological breakthroughs. With cities growing rapidly and natural resources under strain, developing innovative ideas has become crucial. Artificial intelligence (AI) is playing an increasingly significant role by analyzing vast amounts of data to predict outcomes and optimize processes. Cities, in particular, stand to benefit from AI-driven advances in sustainable urban planning. From smart grids that optimize energy distribution to AI-powered waste management systems that improve recycling, AI offers a wide range of sustainability applications.

Developing Smart Sustainability With Artificial Intelligence discusses how AI can be pushed into the service of smart sustainability. It focuses on where AI intersects with renewable energy, waste management, water conservation, and sustainable agriculture. Additionally, the book deals with ethical and socio-economic aspects of applying AI to sustainability. Covering topics such as clean energy, environmental protection, and urban sustainability, this book is an excellent resource for academicians, researchers, industry experts, educators, graduate and postgraduate students, and more.

Post-Traumatic Stress Disorder (PTSD) remains a significant mental health challenge, with a broad range of causes and complex influencing factors beyond traditional war-related trauma. Despite advancements in understanding, there is still controversy surrounding the efficacy of various treatment approaches, including both conventional methods like Cognitive Behavioral Therapy (CBT) and non-traditional techniques such as yoga and psychoactive drugs. This complexity highlights the need for a comprehensive resource that not only updates professionals on the latest research but also addresses the diverse causes and manifestations of PTSD, including social, racial, and economic factors.

Development and Treatment of PTSD offers a solution by providing up-to-date information, theories, and interventions for PTSD. Unlike many existing resources that focus narrowly on specific traumatic events, this book expands its scope to encompass a wide array of causes, triggers, and contributors to PTSD, including interpersonal dynamics and societal influences. This book is essential for psychologists, psychiatrists, social workers, counselors, medical personnel involved in trauma care, and professionals working in clinical and school settings.

As artificial intelligence advances, it continues to revolutionize every field, including digital forensics. In an era where cybercrime is sophisticated and data breaches are common, digital forensics plays a crucial role in uncovering evidence, solving crimes, and ensuring justice. The integration of AI technologies into digital forensic investigations has enhanced the ability to analyze data quickly and accurately, uncover hidden patterns, and track complex digital footprints. However, this technological evolution also presents new challenges, as AI can both assist criminals in covering their tracks and introduce ethical dilemmas regarding privacy and data security. Navigating the intersection of digital forensics and AI requires cutting-edge tools and further understanding of the potential risks and opportunities they bring.

Digital Forensics in the Age of AI explores the rapidly evolving intersection of deep learning and cybersecurity, offering in-depth analysis on how AI-driven techniques are being used to address complex security challenges. It provides a comprehensive view of the current research landscape while identifying emerging trends, cutting-edge methodologies, and practical applications of deep learning in cybersecurity. This book covers topics such as fraud detection, cybercrime, and Internet of Things, and is a useful resource for computer engineers, security professionals, business owners, academicians, researchers, and scientists.

With the growing urgency of climate change, digital innovations emerge as pivotal tools in advancing renewable energy and conservation efforts. From sophisticated data analytics that optimize energy efficiency to smart grids that enhance the reliability of renewable sources, technology is transforming how we produce, manage, and conserve energy. To harness the full potential of these renewable innovations, effective research into cutting-edge digital technologies and practices is necessary.

Digital Innovations for Renewable Energy and Conservation delves into the intersection of digitalization and sustainable growth, exploring how advancements in technology can be leveraged to foster environmental sustainability and economic prosperity. It examines the evolving landscape of the global economy in the digital age, identifying opportunities and challenges for achieving sustainable development goals. This book covers topics such as climatology, smart cities, and digital technology, and is a useful resource for policymakers, business owners, computer engineers, environmentalists, conservationists, academicians, scientists, and researchers.

Digital technologies play a pivotal role in improving sustainability and quality control across various industries. By leveraging data analytics, artificial intelligence, and the Internet of Things (IoT), organizations can optimize resource management, reduce waste, and ensure compliance with environmental standards. Smart sensors can monitor energy usage and emission, enabling companies to implement corrective measures. In quality control, digital tools improve automation of inspection processes, providing precise data to enhance product consistency and reliability. Blockchain technology can improve traceability in supply chains, ensuring sustainable practices are followed from production to delivery. Businesses must explore and utilize these technologies to improve their operational efficiency while contributing to sustainable development.

Digital Technologies for Sustainability and Quality Control examines the usefulness of digital technology in creating sustainable business practices and effective quality control. It addresses the positive environmental and economic effects of smart manufacturing and product development. This book covers topics such as waste management, data analytics, and environmental monitoring, and is a useful resource for business owners, computer engineers, environmental scientists, academicians, and researchers.

Digital transformation has brought about both unprecedented opportunities and complex challenges in the landscape of healthcare. As healthcare systems strive to meet the growing demands of an aging population and rising healthcare costs, they are confronted with issues of inefficiency, fragmented care delivery, and limited access to quality services. Moreover, the global COVID-19 pandemic has further exacerbated these challenges, highlighting the urgent need for innovative solutions to enhance healthcare delivery and sustainability.

Digital Twins for Sustainable Healthcare in the Metaverse emerges as a solution to these pressing challenges, offering a forward-thinking approach to revolutionize healthcare delivery. By exploring the integration of digital twin (DT) technology with the consumer health metaverse (MCH), alongside artificial intelligence (AI), machine learning (ML), and other cutting-edge innovations, this book provides a roadmap for transforming healthcare systems and processes. From enhancing data management and visualization techniques to leveraging blockchain technology for data privacy, each chapter offers actionable insights to address the complexities of modern healthcare delivery.

Healthcare delivery today is plagued with numerous challenges such as escalating costs, an aging population with a longer life expectancy, rapid increases in chronic conditions, and more. To address this and deliver a healthcare value proposition of better quality, access, and value to all, it is vital to look to advances in digital solutions. Rapid advances in technology enable the possibility of delivering tailored, personalized, and precise care. This leads to ensuring optimal clinical resources, timely as well as effective, efficient and efficacious care, happier patients, a smarter and supported clinical workforce, and a healthier community.

Digitalization and the Transformation of the Healthcare Sector provides a compilation of critical aspects that collectively serve to underscore the potential digital technologies advances can bring to healthcare delivery. It discusses the potential of e-health and lays out a clear road map and vision for achieving high quality, high value care for all. Covering topics such as 5G technology, metaverse, and telemedicine, this book is an excellent resource for researchers, academicians, clinicians, allied health workers, managers in healthcare, policymakers, graduate and postgraduate students, and more.

In our interconnected world, infectious diseases pose an ever-increasing threat, transforming boundaries and affecting both developed and developing nations. While developed countries benefit from advanced healthcare systems, the rise of antibiotic-resistant infections, an aging population, and global travel challenges persist. Simultaneously, developing nations face a more significant burden due to limited healthcare infrastructure, poverty, and the prevalence of tropical diseases. The lack of access to clean water, sanitation, and vaccines further compounds the challenges, creating a complex tapestry of infectious disease dynamics.

Distribution and Treatment of Infectious Diseases: Challenges for Developed and Developing Nations is a comprehensive book, a beacon of knowledge, and a catalyst for change; it brings together esteemed scholars to form a collective of effort and knowledge sharing to unravel the intricacies of infectious diseases. By addressing topics ranging from the basics of infection to the specific challenges faced by developed and developing nations, the book offers a comprehensive understanding of the global situation. Beyond a mere analysis, this book presents actionable strategies and fosters international cooperation to combat the socio-economic factors, misinformation, and barriers to effective treatment.

In recent years, public consciousness regarding the composition of skincare products has developed astronomically. Consumers are wary of chemical heavy products and are oftentimes drawn to products that utilize natural plants and other resources that have been forgotten in industrial society. While the popularity of this sort of product is growing, companies must also make a conscious effort to harvest these ingredients sustainably and consciously without a negative environmental impact.

Eco-Friendly Skin Solutions for Natural Cosmeceuticals illuminates the scientific, technological, and ethical dimensions of incorporating natural products into skin care formulations, providing a holistic understanding of their significance in the cosmeceutical industry. This book bridges the knowledge gap between the traditional uses of natural ingredients and their application in modern skin care science, offering a comprehensive exploration of the extraction, formulation, and efficacy of these bioactive compounds. Furthermore, the book endeavors to address the challenges and opportunities in the sustainable and ethical sourcing of natural ingredients, highlighting the importance of environmental stewardship in the beauty industry. By presenting the latest research, regulatory frameworks, and market trends, the book serves as an invaluable resource for professionals across the cosmeceutical sector, from researchers and product developers to policymakers and marketing specialists.

As industries evolve, the demand for innovative solutions intensifies, yet challenges persist in harnessing the full potential of edible electronics (EE). From navigating complex interdisciplinary landscapes to overcoming material limitations and technological hurdles, researchers and professionals face a myriad of obstacles in realizing EE's promises. The lack of comprehensive resources further compounds these challenges, leaving many needing more guidance to navigate this dynamic field effectively.

Edible Electronics for Smart Technology Solutions serves as a beacon of knowledge and practical insights for those navigating the complexities of EE. This comprehensive guide offers a holistic approach, addressing critical issues such as energy harvesting, materials development, and technological integration. By identifying emerging trends and promoting cutting-edge solutions, the book equips readers with the tools and strategies to overcome challenges and drive innovation.

In the digital age, the convergence of advanced technologies and human behavior presents a complex cybersecurity challenge, particularly through the lens of social engineering. Social engineering attacks exploit psychological manipulation rather than relying solely on technical vulnerabilities. By leveraging human trust and deception, these attacks become particularly difficult to defend against, evolving alongside advancements in artificial intelligence, machine learning, and other technologies. This dynamic environment heightens the risk of cyber threats, underscoring the need for comprehensive and innovative strategies to address these emerging vulnerabilities.

Effective Strategies for Combatting Social Engineering in Cybersecurity offers a thorough exploration of these challenges, providing a well-rounded approach to understanding and countering social engineering threats. It delves into the theoretical aspects of social engineering, including the psychological principles that drive these attacks, while also offering practical solutions through real-world case studies and applications. By bridging the gap between theory and practice, the book equips academics, practitioners, and policymakers with actionable strategies to enhance their defenses.

The field of biology and technology is constantly changing and growing. However, the abundance and intricacy of biological data present significant challenges for researchers, educators, and students. Deciphering this vast sea of information to extract meaningful insights can be difficult. Traditional approaches often fail to provide comprehensive solutions to these intricate problems, leaving many struggling to navigate the complexities of bioinformatics.

Effective Techniques for Bioinformatic Exploration brings new clarity to the world of bioinformatics, offering a comprehensive solution to the challenges scholars face. Through its meticulously crafted chapters, this book provides a structured approach to understanding and applying bioinformatics principles. Bridging the gap between theory and practice equips readers with the tools needed to tackle complex biological problems effectively. Whether delving into genomics, proteomics, or machine learning models, this book offers a roadmap for success. This book empowers readers to overcome challenges and make meaningful contributions to the field by embracing the scientific method and showcasing the practical application of bioinformatics techniques.

Climate change impacts social and economic systems worldwide. As rising temperatures, extreme weather events, and shifting ecological patterns rise, the effects impact human lives, mental health, and community stability. Vulnerable populations often bear the brunt of these changes, worsening inequalities and limiting access to resources. Economically, climate change disrupts industries, market dynamics, and costs in the public and private sectors. Understanding the relationship between climate change and social-economic factors is essential for developing effective policies and strategies to promote business resilience, equity, and sustainable development.

Effects of Climate Change on Social and Economic Factors examines the social and economic effects of climate change on global businesses. It offers solutions for addressing climate change in policy, psychology, tourism, and finance among other sectors. This book covers topics such as climatology, mental health, and data science, and is a useful resource for environmental scientists, economists, sociologists, data scientists, psychologists, academicians, business owners, engineers, and researchers.

Corrosion stands as a persistent and costly challenge across numerous industrial sectors, posing threats to infrastructure integrity, financial stability, and safety. The progressive degradation of metals due to chemical reactions with their environment not only results in substantial financial losses but also raises significant safety concerns. The need for effective corrosion protection technologies has never been more pressing, as industries strive to maintain operational efficiency, extend the lifespan of critical assets, and ensure the safety of personnel.

Emerging Technologies and Industrial Applications of Corrosion Science emerges as a solution to the pervasive problem of corrosion, offering a deep dive into the latest advancements in corrosion protection. By delving into innovative techniques and protective methods, this book equips professionals with the knowledge and tools needed to combat corrosion effectively. Through a blend of theoretical insights and practical applications, the book empowers engineers, industrial chemists, researchers, and students to implement cutting-edge corrosion mitigation strategies across diverse industrial sectors.

Water is a precious and vital resource for human survival and well-being. However, increasing populations has led to a growing demand, resulting in excessive water use for domestic, agricultural, commercial, and industrial purposes. This overuse, combined with the effects of climate change and pollution, jeopardizes environmental sustainability and sustainable development. Faced with these challenges, it is imperative to adopt innovative approaches for the treatment, management, and preservation of water resources that go beyond conventional methods. Further exploration into these areas may ensure equitable access to high-quality water and safeguard a sustainable future for future generations.

Emerging Trends and Technologies in Water Management and Conservation provides a comprehensive exploration of the latest developments in emerging trends and technologies applied to water management, treatment, and conservation of water resources. It highlights the most significant trends in this field, with a primary focus on digital water management and the application of artificial intelligence (AI), the Internet of Things (IoT), and intelligent technologies. This book covers topics such as environmental science, digital technology, and water purification, and is a useful resource for environmental scientists, civil engineers, computer engineers, conservationists, academicians, and researchers.

Autism Spectrum Disorder (ASD) affects hundreds of thousands worldwide. ASD research has been used to inform medical and surgical practices to better the care provided to those with ASD. Additionally, innovations in the management of autism have led to the use of predictive language processing for the development of communication skills. Autism management has advanced in areas such as parent training, development of soft skills, and education. To continue to better the lives of those with ASD, it is important to advance the research and global use of innovations to empower those with ASD.

Empowering Innovations in Advanced Autism Research and Management explores innovative advancements in autism research, focusing on innovative strategies for diagnosis, intervention, and support that enhances the quality of life for individuals on the spectrum. It highlights the role of emerging technologies, personalized approaches, and collaborative frameworks in driving meaningful progress in autism care and research. Covering topics such as autism pathogenesis, healthcare practices, and special education, this book is an excellent resource for researchers, clinicians, healthcare professionals, educators, policymakers, and more.

Political strife, economic turmoil, and a global pandemic have caused massive changes throughout society over the past few years. Disruptions to work and school enforced a complete reliance on technology for the first time in many countries, while supply chain issues directly impacted societal comfort and well-being. More than ever, it is apparent how influential and significant information science and technology is across the world. As every industry and government adjusts to today’s reality in which information science and technology is key to the functionality of providing services, it is imperative that the cutting-edge concepts, methodologies, and technologies that have been implemented within recent years are shared with the global research community and beyond.

The Encyclopedia of Information Science and Technology, Sixth Edition continues the legacy set forth by the first five editions by providing comprehensive coverage and up-to-date definitions of the most important issues, concepts, and trends pertaining to technological advancements and information management within a variety of settings and industries. Additionally, this major reference work is the first in this impactful series to be fully open access and operate under a continuous publication frequency, allowing each encyclopedia entry to be released in real time to the academic community immediately upon acceptance. Featuring a collection of research from scholars throughout the world with notable research portfolios and expertise, this publication is freely available to all audiences and is particularly ideal for IT specialists, programmers, developers, computer scientists, information professionals, data scientists, security specialists, engineers, educators, executives, scientists, medical professionals, managers, academicians, researchers, and upper-level students.

Energy Alliance for Realistic and Profitable Energy Transition is a research book which explores the critical role of collaboration and strategic alliances in overcoming global challenges such as climate change, energy security, and sustainable development. Through the concept of an energy alliance, the book reveals the power of diverse actors joining forces to create innovative and sustainable energy systems. In this book, readers will gain a deeper understanding of the complexities inherent in the energy transition and discover how alliances can bridge the gap between aspiration and action.

This book caters to a diverse range of stakeholders involved in energy transitions, including policymakers, industry professionals, researchers, NGOs, educators, and students. Whether technical or non-technical, readers will find relevant insights and perspectives tailored to their roles and interests. Researchers, scholars, and academics in energy studies, sustainability, and environmental sciences will appreciate the comprehensive overview, theoretical frameworks, case studies, and research findings that inform further studies and exploration.

Safety in the food industry is of paramount importance for ensuring the quality and integrity of food products. One of the key issues is maintaining safety and quality as preservation methods become more varied and complex. Individual technologies can be combined to achieve the right balance of safety, quality and shelf life for particular products. A deep understanding of the complexities and innovations in food processing address critical challenges and help chart a course towards a safer and more sustainable food future.

Energy Efficient Technologies for Food Safety, Quality, and Security explores the latest advancements in technology aimed at ensuring the safety and quality of our food supply. It discusses the mechanisms, application conditions, and advantages and disadvantages of selected food preservation techniques. Covering topics such as food security, post-harvest packaging, and sustainable packaging solutions, this book is an excellent resource for food safety consultants, auditors, and practitioners, policymakers, professionals, researchers, scholars, academicians, and more.

Computational capabilities bring with them the advantages of cold logic, precision, speed, data omniscience, mass data processing capabilities, multimodality, enriched deployments, and efficiencies. With these many advantages, people seek to offload work to machines. Now with the major advances in artificial intelligence, humanity is moving closer to handing over complex decision-making to machines, without humans in the direct loop.

Enhancing Automated Decision-Making Through AI explores the processes of designing and deploying systems for automated decision-making. It also considers the implications of automated decision-making informed by AI, which can be unpredictable. Covering topics such as agriculture, disaster detection, and tumor detection, this book is an excellent resource for engineers, systems designers, instructors, graduate and postgraduate students, and more.

Effective health management goes beyond individual care to encompass the well-being of families, communities, and broader societal systems. As healthcare systems evolve, a holistic approach that integrates the perspectives of self, society, and state becomes vital for improving health outcomes. This approach emphasizes the interconnectedness of individual health, family support, community resources, and the role of governmental and organizational frameworks in promoting public health. By focusing on the collaboration between these four pillars, self, society, state, and systems, health management strategies can be more comprehensive, accessible, and sustainable. Further exploration into how enhanced health management can create resilient and equitable health outcomes for clients, families, and communities may foster a more proactive approach to healthcare.

Enhancing Client, Family, and Community Health Management: Self, Society, State, Systems, and Spirituality explores the integration of social, governmental, systemic, and personal practices into healthcare management. It examines concepts that challenge conventional healthcare management applications and presents new skills to address clinical and societal healthcare challenges. This book covers topics such as government and law, healthcare systems, and sociology, and is useful resource for government workers, sociologists, business owners, healthcare managers, academicians, scientists, and researchers.

In today's ever-evolving world of electronics engineering and design, professionals face the pressing challenge of effectively integrating the Internet of Things (IoT) technology into electronic devices to enhance their performance and functionality. As the demand for smarter, more connected devices continues to grow, there exists a critical need for comprehensive resources that bridge the gap between theoretical concepts and practical applications of IoT in electronics. Without such guidance, professionals risk falling behind in understanding and harnessing the transformative power of IoT technology.

Enhancing Data-Driven Electronics Through IoT emerges as the definitive solution to this pervasive problem. This groundbreaking book offers scholars a roadmap to navigate the complexities of IoT integration in electronic devices, empowering them to unlock new opportunities for innovation and advancement. Through a meticulous exploration of IoT protocols, communication technologies, and data analytics techniques, this book equips scholars with the knowledge and skills needed to excel in the rapidly evolving field of electronics engineering.

In an era defined by digital connectivity, securing sensitive information against cyber threats is a pressing concern. As digital transmission systems advance, so do the methods of intrusion and data theft. Traditional security measures often need to catch up in safeguarding against sophisticated cyber-attacks. This book presents a timely solution by integrating steganography, the ancient art of concealing information, with cutting-edge deep learning techniques. By blending these two technologies, the book offers a comprehensive approach to fortifying the security of digital communication channels.

Enhancing Steganography Through Deep Learning Approaches addresses critical issues in national information security, business and personal privacy, property security, counterterrorism, and internet security. It thoroughly explores steganography's application in bolstering security across various domains. Readers will gain insights into the fusion of deep learning and steganography for advanced encryption and data protection, along with innovative steganographic techniques for securing physical and intellectual property. The book also delves into real-world examples of thwarting malicious activities using deep learning-enhanced steganography. This book is tailored for academics and researchers in Artificial Intelligence, postgraduate students seeking in-depth knowledge in AI and deep learning, smart computing practitioners, data analysis professionals, and security sector professionals.