Sayan Chakraborty – författare

IoMT Applications in Healthcare 5.0 introduces the concept of Healthcare 5.0, emphasizing the transformative potential of intelligent diagnosis, remote treatment, and smart health management. Sections define IoMT and its multi-tiered architecture, discussing its pivotal role in improving electronic device productivity in healthcare, explore IoMT applications in Healthcare 5.0, discuss remote physical therapy using IoMT in Healthcare 5.0, delve into the security and privacy considerations of IoMT in healthcare, and address how to overcome challenges and future directions in IoMT. The book concludes by summarizing key findings, providing a comprehensive overview of the discussed topics.Written by experts in the field, this is a key text for Biomedical Engineers, Data Scientists, and IoT Developers and specialists who work in the Internet of Medical Things. Graduate students of IoT engineering, biology, biostatistics, biomedical sciences, bioinformatics, health-informatics, and Interdisciplinary sciences will also find this an invaluable resource.Provides an integrative and multidisciplinary approach to Healthcare 5.0Covers recent advancement in IoMT in transitioning healthcareDiscusses the evolution of healthcare and IoMT

This book presents advanced research on smart health technologies, focusing on the innovative transformations in diagnosis and treatment planning using medical imaging and data analysed by data science techniques. It shows how smart health technologies leverage artificial intelligence (AI) and big data analytics to provide more accurate and efficient diagnosis and treatment planning. In search for innovative and novel methods and techniques for health technologies and medical data processing, the book • Discusses applications of Artificial Intelligence, Data Science, Machine Learning, Deep Learning, the Internet of Things, Big Data, Cloud Computing;• Includes use of electronic patient records in healthcare, analysis of big data in medical diagnosis, reliability, and challenges of EPR and EHR in smart healthcare;• Explores evolving techniques for smart healthcare, its application in medical imaging and prediction in the fields of treatment planning;• Provides recent studies in AI-driven healthcare technologies and medical imaging to outline insight into smart healthcare technologies;• Discusses the role of big data in smart healthcare, computing techniques for healthcare for medical diagnosis and treatment planning;• Encompasses the ethical and legal challenges of using smart healthcare and medical data.This book serves as a valuable reference for researchers working on smart health technologies. Researchers of medical imaging, artificial intelligence, and data science along with healthcare domain will find it a great resource as well.

This book presents a curated collection of peer-reviewed research contributions emerging from the International Conference on Frontiers in Engineering, Science, and Technology (ICONFEST 2025). It highlights contemporary innovations, interdisciplinary approaches, and transformative technologies that are shaping the future of engineering and applied sciences.The volume brings together diverse research works spanning computer science, electrical and electronics engineering, mechanical and manufacturing systems, civil and environmental engineering, and materials science. It emphasizes the growing significance of interdisciplinary collaboration in addressing complex real-world challenges. Key themes include artificial intelligence and machine learning applications, intelligent infrastructure, renewable and sustainable energy systems, and advancements in smart manufacturing technologies. The book captures cutting-edge methodologies, experimental findings, and practical implementations, reflecting both theoretical advancements and industry-driven innovations. By integrating perspectives from academia and industry, it demonstrates how convergent research can foster sustainable development and technological progress across multiple domains.This book is intended for researchers, academicians, industry professionals, and postgraduate students engaged in engineering, applied sciences, and emerging technologies. It serves as a valuable reference for those seeking insights into current research trends, interdisciplinary innovations, and practical solutions to contemporary engineering challenges.

This book presents a curated collection of peer-reviewed research contributions emerging from the International Conference on Frontiers in Engineering, Science, and Technology (ICONFEST 2025). It highlights contemporary innovations, interdisciplinary approaches, and transformative technologies that are shaping the future of engineering and applied sciences.The volume brings together diverse research works spanning computer science, electrical and electronics engineering, mechanical and manufacturing systems, civil and environmental engineering, and materials science. It emphasizes the growing significance of interdisciplinary collaboration in addressing complex real-world challenges. Key themes include artificial intelligence and machine learning applications, intelligent infrastructure, renewable and sustainable energy systems, and advancements in smart manufacturing technologies. The book captures cutting-edge methodologies, experimental findings, and practical implementations, reflecting both theoretical advancements and industry-driven innovations. By integrating perspectives from academia and industry, it demonstrates how convergent research can foster sustainable development and technological progress across multiple domains.This book is intended for researchers, academicians, industry professionals, and postgraduate students engaged in engineering, applied sciences, and emerging technologies. It serves as a valuable reference for those seeking insights into current research trends, interdisciplinary innovations, and practical solutions to contemporary engineering challenges.