Explainable Ai Applications For Human Behavior Analysis
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Explainable Ai Applications For Human Behavior Analysis
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Author : Paramasivan, P.
language : en
Publisher: IGI Global
Release Date : 2024-05-20
Explainable Ai Applications For Human Behavior Analysis written by Paramasivan, P. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-20 with Computers categories.
In the field of computer vision research, the study of human behavior is a formidable challenge. The diverse applications of this field, from video surveillance for crowd analysis to healthcare diagnostics, have drawn increasing attention. However, a significant problem persists – the sacrifice of transparency for the sake of predictive accuracy in Artificial Intelligence (AI) solutions. These AI systems often operate as enigmatic black boxes, seemingly conjuring decisions from vast datasets with little to no explanation. The need for clarity and accountability in AI decision-making is paramount as our reliance on these systems continues to grow. Explainable AI Applications for Human Behavior Analysis embarks on a mission to harness AI's innate capability to elucidate upon its own decision-making processes. By focusing on facial expressions, gestures, and body movements, we delve into uncharted territories of research, offering novel methodologies, databases, benchmarks, and algorithms for the analysis of human behavior in natural settings. Geared toward academic scholars, this book compiles the expertise of leading researchers in the field, making it accessible to readers of all educational backgrounds.
Deep Learning In Gaming And Animations
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Author : Vikas Chaudhary
language : en
Publisher: CRC Press
Release Date : 2021-12-07
Deep Learning In Gaming And Animations written by Vikas Chaudhary and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-07 with Computers categories.
Over the last decade, progress in deep learning has had a profound and transformational effect on many complex problems, including speech recognition, machine translation, natural language understanding, and computer vision. As a result, computers can now achieve human-competitive performance in a wide range of perception and recognition tasks. Many of these systems are now available to the programmer via a range of so-called cognitive services. More recently, deep reinforcement learning has achieved ground-breaking success in several complex challenges. This book makes an enormous contribution to this beautiful, vibrant area of study: an area that is developing rapidly both in breadth and depth. Deep learning can cope with a broader range of tasks (and perform those tasks to increasing levels of excellence). This book lays a good foundation for the core concepts and principles of deep learning in gaming and animation, walking you through the fundamental ideas with expert ease. This book progresses in a step-by-step manner. It reinforces theory with a full-fledged pedagogy designed to enhance students' understanding and offer them a practical insight into its applications. Also, some chapters introduce and cover novel ideas about how artificial intelligence (AI), deep learning, and machine learning have changed the world in gaming and animation. It gives us the idea that AI can also be applied in gaming, and there are limited textbooks in this area. This book comprehensively addresses all the aspects of AI and deep learning in gaming. Also, each chapter follows a similar structure so that students, teachers, and industry experts can orientate themselves within the text. There are few books in the field of gaming using AI. Deep Learning in Gaming and Animations teaches you how to apply the power of deep learning to build complex reasoning tasks. After being exposed to the foundations of machine and deep learning, you will use Python to build a bot and then teach it the game's rules. This book also focuses on how different technologies have revolutionized gaming and animation with various illustrations.
Advancing Intelligent Networks Through Distributed Optimization
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Author : Rajest, S. Suman
language : en
Publisher: IGI Global
Release Date : 2024-08-29
Advancing Intelligent Networks Through Distributed Optimization written by Rajest, S. Suman and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-29 with Computers categories.
The numerous developments in wireless communications and artificial intelligence (AI) have recently transformed the Internet of Things (IoT) networks to a level of connectivity and intelligence beyond any prior design. This topology is sharply exemplified in mobile edge computing, smart cities, smart homes, smart grids, and the IoT, among many other intelligent applications. Intelligent networks are founded on integrating caching and multi-agent systems that optimize data storage and the entire device’s learning process. However, a central node through which all agents transmit status messages and reward information is a major drawback of this design pattern. This central node condition instigates more communication overhead, potential data leakage, and the birth of data islands. To reverse this trend, using distributed optimization techniques and methodologies in cache-enabled multi-agent learning environments is increasingly beneficial. Advancing Intelligent Networks Through Distributed Optimization explains the current race for sophisticated and accurate distributed optimization in cache-enabled intelligent IoT networks given the need to make multi-agent learning converge faster and reduce communication overhead. These techniques will require innovative resource allocation strategies stretching from system training to caching, communication, and processing amongst millions of agents. This book combines the key recent research in these races into a single binder that can serve all the interested theoretical and practical scholars. The book focuses broadly on intelligent systems’ optimization trends. It identifies the various applications of advanced distributed optimization from manufacturing to medicine, agriculture and smart cities.
Advancements In Clinical Medicine
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Author : Paramasivan, P.
language : en
Publisher: IGI Global
Release Date : 2024-05-01
Advancements In Clinical Medicine written by Paramasivan, P. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-01 with Medical categories.
Healthcare professionals face a range of challenges in modern clinical medicine, from managing neurodegenerative disorders like Alzheimer's disease to treating allergic rhinitis in elderly populations. These challenges require innovative solutions, as traditional diagnostic and treatment methods may only sometimes be effective. How can clinicians navigate these challenges and provide the best possible care for their patients? Advancements in Clinical Medicine is a resource that provides practical solutions to these challenges through innovative approaches like machine learning integration and super-resolution reconstruction techniques revolutionize how we approach diagnosis and treatment. By leveraging cutting-edge technologies like artificial intelligence, this book equips scholars and practitioners with the tools they need to tackle even the most daunting medical challenges head-on.
Cross Industry Ai Applications
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Author : Paramasivan, P.
language : en
Publisher: IGI Global
Release Date : 2024-06-17
Cross Industry Ai Applications written by Paramasivan, P. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-17 with Computers categories.
The rise of Artificial Intelligence (AI) amidst the backdrop of a world that is changing at lightning speed presents a whole new set of challenges. One of our biggest hurdles is more transparency in AI solutions. It's a complex issue, but one that we need to address if we want to ensure that the benefits of AI are accessible to everyone. Across diverse sectors such as healthcare, surveillance, and human-computer interaction, the inability to understand and evaluate AI's decision-making processes hinders progress and raises concerns about accountability. Cross-Industry AI Applications is a groundbreaking solution to illuminate the mysteries of AI-driven human behavior analysis. This pioneering book addresses the necessity of transparency and explainability in AI systems, particularly in analyzing human behavior. Compiling insights from leading experts and academics offers a comprehensive exploration of state-of-the-art methodologies, benchmarks, and systems for understanding and predicting human behavior using AI. Each chapter delves into novel approaches and real-world applications, from facial expressions to gesture recognition, providing invaluable knowledge for scholars and professionals alike.
Explainable Ai Foundations Methodologies And Applications
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Author : Mayuri Mehta
language : en
Publisher: Springer Nature
Release Date : 2022-10-19
Explainable Ai Foundations Methodologies And Applications written by Mayuri Mehta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-19 with Technology & Engineering categories.
This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas. The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.
Explainable Artificial Intelligence Xai In Manufacturing
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Author : Tin-Chih Toly Chen
language : en
Publisher: Springer Nature
Release Date : 2023-03-16
Explainable Artificial Intelligence Xai In Manufacturing written by Tin-Chih Toly Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-16 with Technology & Engineering categories.
This book provides a comprehensive overview of the latest developments in Explainable AI (XAI) and its applications in manufacturing. It covers the various methods, tools, and technologies that are being used to make AI more understandable and communicable for factory workers. With the increasing use of AI in manufacturing, there is a growing need to address the limitations of advanced AI methods that are difficult to understand or explain to those without a background in AI. This book addresses this need by providing a systematic review of the latest research and advancements in XAI specifically tailored for the manufacturing industry. The book includes real-world case studies and examples to illustrate the practical applications of XAI in manufacturing. It is a valuable resource for researchers, engineers, and practitioners working in the field of AI and manufacturing.
Multidisciplinary Applications Of Ai Robotics And Autonomous Systems
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Author : Choudhury, Tanupriya
language : en
Publisher: IGI Global
Release Date : 2024-06-24
Multidisciplinary Applications Of Ai Robotics And Autonomous Systems written by Choudhury, Tanupriya and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-24 with Computers categories.
As society transitions into the digital age, the demand for advanced robotics and autonomous systems has remained unchanged. However, the field faces significant challenges bridging the gap between current capabilities and the potential for brilliant, autonomous machines. While exact and efficient, current robotic systems need more sophistication and adaptability of human intelligence. This limitation restricts their application in complex and dynamic environments, hindering their ability to realize their potential fully. Multidisciplinary Applications of AI Robotics and Autonomous Systems addresses these challenges by presenting cutting-edge research and innovative robotics and autonomous systems solutions. By exploring topics such as digital transformation, IoT, AI, and cloud-native computing paradigms, readers will understand the latest advancements in the field. The book delves into theoretical frameworks, computational models, and experimental approaches, offering insights to help researchers and practitioners develop more intelligent and autonomous machines.
Ai Applications In Psychology
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Author : DR. DILEEP KUMAR MOHANACHANDRAN
language : en
Publisher: SRJX RESEARCH AND INNOVATION LAB LLP
Release Date : 2025-06-05
Ai Applications In Psychology written by DR. DILEEP KUMAR MOHANACHANDRAN and has been published by SRJX RESEARCH AND INNOVATION LAB LLP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-05 with Computers categories.
Structure and Organization The book is structured into eleven comprehensive chapters, each addressing a key thematic area where AI intersects with psychology: Chapters 1–3 introduce the foundations: the historical context, the core technologies (AI, machine learning, NLP, etc.), and the significance of AI in research and cognitive modeling. Chapters 4–7 explore domain-specific applications: clinical psychology, behavioral analysis, cognitive assessment, educational psychology, and developmental tracking. Chapter 8 focuses on AI’s role in cultural and social psychology, sentiment analysis, group behavior, and bias detection. Chapter 9 dives deep into neuropsychology and brain-computer interfacing, discussing computational neuroscience and neuroimaging with AI tools. Chapter 10 addresses ethical, philosophical, and societal implications including AI consciousness, privacy, and accountability. Chapter 11 offers real-world case studies and implementations, showcasing successful AI projects and collaborations between psychologists and technologists. Why This Book Now? AI is no longer confined to data science labs or Silicon Valley prototypes. AI-powered chatbots are already assisting in therapy, virtual assistants are supporting cognitive exercises, and brain-computer interfaces are restoring communication in locked-in patients. Yet, as these tools become more widespread, psychologists must not be passive observers. They must become co-creators, ensuring that AI systems are grounded in psychological theory and ethical consideration. The timing of this book reflects a critical inflection point: just as psychology helped shape early cognitive science, it must now guide the ethical evolution of artificial intelligence. By bringing together insights from clinical psychology, behavioral science, cognitive modeling, and AI engineering, we provide readers with a holistic view of how these fields coalesce to enhance mental well-being, research precision, and human understanding. An Interdisciplinary Conversation This book is a product of dialogue—between technology and psychology, data and theory, machine precision and human intuition. It draws from diverse research traditions and emerging practices across psychology, computer science, neuroscience, ethics, and education. Readers will find discussions on how AI is used to analyze therapy transcripts, simulate human learning, predict behavior in organizational settings, and model decision-making under uncertainty. Moreover, the chapters present AI not as a threat, but as a powerful enabler—capable of complementing the psychologist’s insight with data-driven clarity. However, this integration requires psychologists to understand fundamental AI concepts and AI engineers to respect psychological complexity. This is the bridge we aim to build. Human-Centric AI A key theme throughout the book is the vision for human-centric AI—systems designed not just for efficiency, but for empathy, accessibility, and inclusivity. Whether it is through adaptive learning platforms for students with learning disabilities, mental health chatbots for isolated populations, or ethical frameworks for responsible AI deployment, the goal is the same: to develop technologies that serve humanity rather than supplant it. Human-centric AI also implies that users—patients, therapists, researchers, and communities—remain at the center of AI development. Transparent design, cultural sensitivity, explainability, and privacy protection are not optional features; they are fundamental principles that must be embedded in every application. A Vision for the Future As we prepare for a future where AI becomes even more intertwined with human thought and behavior, we must ask vital questions: How do we ensure fairness and inclusivity in AI models? Can AI simulate consciousness or empathy? What happens when therapy is partially or fully automated? How do we train the next generation of AI-psychology practitioners? This book does not pretend to answer all these questions definitively. Rather, it aims to spark informed inquiry, provide foundational knowledge, and inspire a generation of psychologists, technologists, educators, and students to co-create responsible AI solutions. We envision a future where AI can: Predict mental health crises before they occur. Provide personalized and culturally competent therapy. Simulate cognitive and emotional processes for deeper understanding. Enhance early diagnosis of neurodevelopmental disorders. Empower marginalized populations with accessible, stigma-free care.
Advances In Explainable Ai Applications For Smart Cities
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Author : Ghonge, Mangesh M.
language : en
Publisher: IGI Global
Release Date : 2024-01-18
Advances In Explainable Ai Applications For Smart Cities written by Ghonge, Mangesh M. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-18 with Computers categories.
As smart cities become more prevalent, the need for explainable AI (XAI) applications has become increasingly important. Advances in Explainable AI Applications for Smart Cities is a co-edited book that showcases the latest research and development in XAI for smart city applications. This book covers a wide range of topics, including medical diagnosis, finance and banking, judicial systems, military training, manufacturing industries, autonomous vehicles, insurance claim management, and cybersecurity solutions. Through its diverse case studies and research, this book provides valuable insights into the importance of XAI in smart city applications. This book is an essential resource for undergraduate and postgraduate students, researchers, academicians, industry professionals, and scientists working in research laboratories. It provides a comprehensive overview of XAI concepts, advantages over AI, and its applications in smart city development. By showcasing the impact of XAI on various smart city applications, the book enables readers to understand the importance of XAI in creating more sustainable and efficient smart cities. Additionally, the book addresses the open challenges and research issues related to XAI in modern smart cities, providing a roadmap for future research in this field. Overall, this book is a valuable resource for anyone interested in understanding the importance of XAI in smart city applications.