Pronaya Bhattacharya – författare

This book intends to present emerging Federated Learning (FL)-based architectures, frameworks, and models in Internet of Medical Things (IoMT) applications. It intends to build on the basics of the healthcare industry, the current data sharing requirements, and security and privacy issues in medical data sharing. Once IoMT is presented, the book shifts towards the proposal of privacy-preservation in IoMT, and explains how FL presents a viable solution to these challenges. The claims are supported through lucid illustrations, tables, and examples that present effective and secured FL schemes, simulations, and practical discussion on use-case scenarios in a simple manner. The book intends to create opportunities for healthcare communities to build effective FL solutions around the presented themes, and to support work in related areas that will benefit from reading the book. It also intends to present breakthroughs and foster innovation in FL-based research, specifically in the IoMT domain. The emphasis of this book is on understanding the contributions of IoMT to healthcare analytics, and its aim is to provide insights including evolution, research directions, challenges, and the way to empower healthcare services through federated learning.

The book also intends to cover the ethical and social issues around the recent advancements in the field of decentralized Artificial Intelligence. The book is mainly intended for undergraduates, post-graduates, researchers, and healthcare professionals who wish to learn FL-based solutions right from scratch, and build practical FL solutions in different IoMT verticals.

This book intends to present emerging Federated Learning (FL)-based architectures, frameworks, and models in Internet of Medical Things (IoMT) applications. It intends to build on the basics of the healthcare industry, the current data sharing requirements, and security and privacy issues in medical data sharing. Once IoMT is presented, the book shifts towards the proposal of privacy-preservation in IoMT, and explains how FL presents a viable solution to these challenges. The claims are supported through lucid illustrations, tables, and examples that present effective and secured FL schemes, simulations, and practical discussion on use-case scenarios in a simple manner. The book intends to create opportunities for healthcare communities to build effective FL solutions around the presented themes, and to support work in related areas that will benefit from reading the book. It also intends to present breakthroughs and foster innovation in FL-based research, specifically in the IoMT domain. The emphasis of this book is on understanding the contributions of IoMT to healthcare analytics, and its aim is to provide insights including evolution, research directions, challenges, and the way to empower healthcare services through federated learning.

The book also intends to cover the ethical and social issues around the recent advancements in the field of decentralized Artificial Intelligence. The book is mainly intended for undergraduates, post-graduates, researchers, and healthcare professionals who wish to learn FL-based solutions right from scratch, and build practical FL solutions in different IoMT verticals.

This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such as when there is incomplete, unclear, or imprecise information at hand or inadequate data. It further illustrates topics such as image processing, and power system analysis.

This book:

The text is written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

This reference text covers the theory and applications of soft computing and machine learning and presents readers with the intelligent fuzzy and neutrosophic rules that require situations where classical modeling approaches cannot be utilized, such as when there is incomplete, unclear, or imprecise information at hand or inadequate data. It further illustrates topics such as image processing, and power system analysis.

This book:

The text is written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

With research perspectives on elements of psychology and technology, Emotional Intelligence in the Digital Era: Concepts, Frameworks, and Applications provides insight into the intersection of emotional intelligence and digital technologies, including artificial intelligence (AI). It explains how technology has the potential to enhance emotional intelligence and promote positive psychological outcomes. It also discusses the role of technology in facilitating social connections that support mental health and promote self-reflection and personal growth.

The main themes explored in the book revolve around understanding human psychology in the context of digital technology in the post-pandemic environment. The book delves into how emotional intelligence plays a crucial role in adapting to virtual environments. It also examines how AI and other digital technologies can enhance engagement and effectiveness. Emphasizing the need for a balanced approach to integrating technology in the field of psychology, the book highlights the potential benefits of technology in promoting emotional intelligence and positive psychological outcomes while also acknowledging the potential risks and ethical considerations associated with its use.

Covering such aspects of human psychology as cognitive and emotional processing, personality, motivation, and decision-making, the book discusses the role of technology in improving human psychological perspectives and emotional intelligence, especially within a post-pandemic context. It also examines the use of virtual reality, teletherapy, and other digital tools in mental health interventions. Written for researchers, academics, and mental health professionals, the book is a deep dive into research investigating human psychology, emotional intelligence, and technology.

With research perspectives on elements of psychology and technology, Emotional Intelligence in the Digital Era: Concepts, Frameworks, and Applications provides insight into the intersection of emotional intelligence and digital technologies, including artificial intelligence (AI). It explains how technology has the potential to enhance emotional intelligence and promote positive psychological outcomes. It also discusses the role of technology in facilitating social connections that support mental health and promote self-reflection and personal growth.

The main themes explored in the book revolve around understanding human psychology in the context of digital technology in the post-pandemic environment. The book delves into how emotional intelligence plays a crucial role in adapting to virtual environments. It also examines how AI and other digital technologies can enhance engagement and effectiveness. Emphasizing the need for a balanced approach to integrating technology in the field of psychology, the book highlights the potential benefits of technology in promoting emotional intelligence and positive psychological outcomes while also acknowledging the potential risks and ethical considerations associated with its use.

Covering such aspects of human psychology as cognitive and emotional processing, personality, motivation, and decision-making, the book discusses the role of technology in improving human psychological perspectives and emotional intelligence, especially within a post-pandemic context. It also examines the use of virtual reality, teletherapy, and other digital tools in mental health interventions. Written for researchers, academics, and mental health professionals, the book is a deep dive into research investigating human psychology, emotional intelligence, and technology.

This book discusses the transformative potential of quantum computing in reshaping the landscape of supply chain management. It bridges the gap between these two dynamic fields, offering a comprehensive guide to the application of quantum principles in supply chain operations. Through detailed examples and case studies, it highlights how quantum computing can tackle industry-specific issues, such as managing global supply chain disruptions, enhancing production schedules, and enabling real-time decision-making. This book is for researchers, professionals, and technologists interested in quantum computing and supply chain practices.

Features:

This book discusses the transformative potential of quantum computing in reshaping the landscape of supply chain management. It bridges the gap between these two dynamic fields, offering a comprehensive guide to the application of quantum principles in supply chain operations. Through detailed examples and case studies, it highlights how quantum computing can tackle industry-specific issues, such as managing global supply chain disruptions, enhancing production schedules, and enabling real-time decision-making. This book is for researchers, professionals, and technologists interested in quantum computing and supply chain practices.

Features:

In the ever-evolving landscape of digital marketing, influencer marketing has emerged as a game-changer, captivating audiences and driving brand engagement like never before. However, success in this dynamic field requires more than just intuition—it demands a mastery of data analytics and an interdisciplinary approach. Introducing this groundbreaking book equips marketers, analysts, and business leaders with the tools and strategies to navigate the complexities of influencer marketing with precision and confidence. Written by leading experts in the field, this comprehensive book explores the intersection of data analytics, consumer behavior, and influencer marketing, offering a holistic perspective on this powerful marketing technique. This book equips the readers with the knowledge and tools to stay ahead of the curve and drive unparalleled success in the ever-evolving world of influencer marketing.

This book serves as a critical resource that bridges the gap between burgeoning technology and its practical implementation. The book starts with an in-depth exploration of healthcare 5.0 principles, laying the foundation for the reader to understand the current shifts in healthcare paradigms. Then, it dives into the intricacies of generative models in healthcare, detailing how these algorithms work and the applications they serve. The book further delves into the subsets of generative machine learning and deep learning techniques in healthcare. As we move towards more complex applications, the book takes a turn to address the critical subject of interpretability and explainability in generative models, a topic that resonates profoundly given the life-critical nature of medical decisions. Finally, the book concludes with a robust discussion on the security and privacy concerns that accompany the deployment of GAI in real healthcare settings. By offering a multidimensional viewpoint—coupled with case studies, statistical analyses, and expert insights—the book ensures that the reader is left with a nuanced understanding of how GAI can be both a boon and a challenge in healthcare. As such, the proposed book serves as an indispensable resource for healthcare professionals, data scientists, researchers, and anyone invested in the future of healthcare and AI.