Hemachandran Kannan - Böcker

Necrobotics for Healthcare Applications and Management delves into the emerging area of necrobotics and its implications for healthcare. Exploring the convergence of robotics, technology, and healthcare, the book presents leading-edge research, practical implementations, and ethical considerations. It bridges a significant gap in healthcare literature, furnishing a contemporary and comprehensive perspective on necrobotics. Highlighting its distinct applications, management nuances, and ethical dimensions in the domain of medical robotics, the book equips readers with an in-depth grasp of this evolving field. It offers insights into technological intricacies, practical utilization, and ethical guidelines. Through real-world case studies and exemplar practices, it vividly demonstrates successful necrobotics deployments while addressing integration challenges. The book facilitates adept navigation of necrobotics complexities, spur innovation, enhance patient outcomes, and contribute to healthcare evolution. Catering to the distinct information requisites and daily obstacles encountered by engineers, healthcare practitioners, and researchers, the book offers extensive insights into necrobotics technologies, real-life case studies, and ethical reflections. It stands as a valuable resource for individuals striving to harness necrobotics' potential for efficacious healthcare solutions.Provides a comprehensive assessment of the recent necrobotics tools and technologies, including surgical robots, automation of necropsy processes, rehabilitation robots, and telemedicine applicationsPresents case studies that illustrate how necrobotics can be used in healthcare settings to improve patient outcomes and safetyDiscusses the ethical implications of necrobotics in healthcare from a privacy and data protection perspective, as well as a regulatory framework

Haptic Feedback Control in Medical Robotics explores the transformative role of haptic technology on robotic surgical procedures, a vital area of innovation for biomedical engineers, covering their fundamental principles, practical applications, and the collaborative efforts required for their development. Through a blend of theoretical insights and real-world case studies, it highlights how haptic feedback can restore the sense of touch, enabling the execution of complex procedures with enhanced precision and safety. It serves as an indispensable resource for biomedical engineers and researchers, providing essential knowledge on the latest advancements, design challenges, and regulatory considerations surrounding haptic technology in medical robotics.By bridging the divide between engineering and clinical practice, it equips readers with the tools and understanding necessary for the future of surgical innovation, underscoring the critical role of tactile sensation in advancing robotic systems.Provides a thorough introduction to haptic feedback, including its principles, types, and mechanismsPresents case studies that illustrate successful implementations of haptic feedback in robotic surgeriesDiscusses future trends and innovations, preparing readers for the evolving landscape of medical robotics

AI-Powered Developments in Medical Robotics: Data-Driven Techniques for Enhanced Surgical Efficiency offers a comprehensive exploration of AI-driven innovations, robotics, and data-driven techniques specifically tailored for medical applications. This book strikes a balance by addressing foundational principles, emerging technologies, and their practical implementation in real-world scenarios. It enhances its value through the inclusion of real-world case studies and interdisciplinary perspectives, making it relevant for professionals, researchers, and students alike. The book explores future developments, such as augmented and virtual reality in medical robotics, positioning itself as a forward-thinking resource. By addressing current gaps in the field, including regulatory challenges, training needs, and cost-effectiveness, it ensures a well-rounded approach that appeals to both advanced and emerging markets. This multifaceted perspective enriches the reader's understanding and equips them with actionable insights for navigating the complexities of AI-driven healthcare robotics. The book serves as a definitive reference for a global audience seeking innovation and practical solutions in the rapidly evolving landscape of medical technology, bridging the gap between theory and practice in a critical area of healthcare advancement.Offers a thorough integration of AI-driven innovations, robotics, and data-driven techniques specifically tailored for medical applicationsAddresses foundational principles, emerging technologies, and practical implementation, providing a well-rounded perspective that combines theory with real-world applicationIncludes real-world case studies and insights from various disciplinesDiscusses future advancements, such as augmented and virtual reality in medical robotics

Metaverse in the Healthcare Industry: Potential Applications, Tools, and Techniques explores the intersection of rapidly evolving metaverse technology and its implications for the healthcare sector. The book provides a comprehensive overview of virtual and augmented reality, artificial intelligence, and other immersive technologies that have gained significant attention within the context of the metaverse in healthcare. It emphasizes how these technologies can revolutionize healthcare by enabling virtual clinics, patient education, remote medical training, therapeutic interventions, and much more. By bringing together diverse perspectives, it contributes to the ongoing discourse on the future of healthcare delivery and innovation.This book also delves into technical aspects of metaverse development and its integration with existing healthcare systems. It discusses ethical considerations and challenges associated with implementing metaverse technologies in healthcare settings. Additionally, it highlights the potential to reshape the healthcare landscape by fostering innovation, improving patient care, and revolutionizing medical training and research. Readers will gain insights into applications, tools, and techniques for leveraging the metaverse to create more effective and accessible healthcare solutions.Brings together the benefits and challenges of the metaverse within the healthcare industryExplores the potential applications of metaverse in the context Health 5.0Provides case studies of successful metaverse implementations in healthcareExamines ethical and privacy considerations in metaverse healthcare

AI-Driven Human-Machine Interaction for Biomedical Engineering: Concepts, Applications, and Methodologies offers a comprehensive examination of the intricate relationship between humans and machines, particularly through the transformative lens of artificial intelligence (AI). As AI technologies rapidly evolve, understanding their implications for human-machine interaction (HMI) has become essential across various domains, especially healthcare. Structured into well-defined chapters, the book begins with an introduction to AI-driven HMI, laying the groundwork for understanding its significance in sustainable healthcare and beyond. Subsequent chapters explore critical topics such as machine learning principles, advanced biomedical data classification methods, and the role of AI in telemedicine.Readers will delve into cutting-edge techniques, from deep learning to non-invasive computer vision, while also examining the implications of these technologies across industries. Each chapter equips readers with actionable insights and highlights emerging trends, ethical considerations, and the future of AI in HMI, ensuring a well-rounded perspective on this dynamic field. This is an invaluable resource for researchers, academics, and students in the fields of Biomedical Engineering, Computer Science, Data Science, Artificial Intelligence, and Healthcare Technology.Offers practical insights into AI-driven methodologies for enhanced human-machine collaboration in healthcare and beyondProvides foundational knowledge of machine learning principles applicable across diverse industriesEquips readers with cutting-edge techniques for biomedical data classification and analysisAddresses ethical considerations and emerging trends in AI applications for informed decision-makingFacilitates innovation by bridging theoretical concepts with real-world applications in human-machine interaction

Decoding Global Marketing Decisions: Leveraging AI and Emotional Intelligence for Entrepreneurial Success offers an in-depth exploration of how Artificial Intelligence and Emotional Intelligence are reshaping the future of global marketing and entrepreneurship.As organizations compete in highly volatile and culturally diverse markets, success increasingly depends on the ability to integrate data-driven intelligence with human-centered emotional insight. This book presents cutting-edge research and practical frameworks that reveal how entrepreneurs and marketers can harness AI-powered tools, emotionally intelligent strategies, and innovative digital models to drive sustainable business growth across borders.Key topics include:Empowered and data-driven decision-making in global marketsEmotional intelligence as a driver of entrepreneurial successAI-powered marketing strategies and analyticsCross-cultural consumer behavior and engagementAI transformation in finance, influencer marketing, and sports brandingEmotionally intelligent chatbots and human–AI collaborationEthical, governance, and trust considerations in AI adoptionEdited by a distinguished international panel of experts, this book is an essential resource for scholars, practitioners, and advanced students seeking to understand the intersection of technology, emotion, and entrepreneurship in the modern global economy.This book is particularly valuable for:Marketing and entrepreneurship researchersMBA and postgraduate studentsBusiness leaders and startup foundersDigital strategists and innovation managersPolicymakers and AI governance professionalsTogether, these contributions decode the complex interplay between intelligence, emotion, and innovation offering a roadmap for entrepreneurial success in the era of intelligent global marketing.

Designing Inclusive ClassroomsRecently, both the education and technology fields have acknowledged a rising awareness that traditional teaching practices, curricula, and institutional policies can frequently uphold inequalities. These disparities have a greater impact on students belonging to marginalized communities, such as low-income backgrounds, students with disabilities, and racial and ethnic minorities. The global transition to digital and online learning has worsened this problem, highlighting disparities in access and inclusivity. This book will serve as a comprehensive reference for understanding how to create equitable and socially just learning environments by leveraging emerging technologies. The book will cover a wide range of topics, from foundational theories of equity and justice in education to practical applications of cutting-edge technologies such as artificial intelligence, virtual reality, and digital learning platforms. It will provide both a conceptual framework and actionable strategies for designing classrooms that meet the diverse needs of students while promoting fairness, inclusivity, and engagement. In addition to practical guidance, the book will critically examine the challenges and ethical considerations of using technology in the pursuit of equity and social justice. This book will serve as an invaluable resource across the fields of education and technology to create a more equitable future.

This book constitutes the refereed proceedings of the 5th International Conference on Artificial Intelligence and Knowledge Processing, AIKP 2025, held in Hyderabad, India, during October 23–25, 2025.The 22 full papers included in this book were carefully reviewed and selected from 111 submissions. They explore a broad spectrum of themes including machine learning, natural language processing, computer vision, robotics, data science, quantum AI, cognitive computing, and ethical AI.