Combining Visual Intelligence and Federated Learning in Smart Healthcare

Guduri, Manisha (EDT); Chakraborty, Chinmay (EDT); Margala, Martin (EDT)

ISBN 13: 9798369360941

Edité par IGI Global, 2025

A propos de cet article

N° de réf. du vendeur 50868803-n

Détails bibliographiques

• Titre: Combining Visual Intelligence and Federated Learning in Smart Healthcare
• Éditeur: IGI Global
• Date de parution: 2025
• Langue: anglais
• ISBN à 13 chiffres: 9798369360941
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

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.

À propos des auteurs

Dr. Manisha Guduri is currently a visiting scholar at the University of Louisiana at Lafayette, USA. She is the author/ coauthor of more than 52 research papers in reputed journals, book chapters, and international conferences. Her research interests include Artificial Intelligence, Biomedical Applications, VLSI/CAD design. She is currently working on VLSI and AI in the biomedical field. She published 5 patents out of which 2 are under FER. She received one patent grant. She is the reviewer of IEEE TVLSI, Microelectronics Journal, IET digital circuits, IEEE Journal of Biomedical and Health Informatics, etc. She has one on-going funded project from the Department of Science and Technology. She is a senior member of IEEE, USA. She is also currently member of various IEEE Societies such as IEEE Young Professionals, IEEE Women in Engineering, Circuits and Systems, Computer Society, Sensor Council, etc. She is appointed as IEEE WiE CASS representative for 2023 & 2024. She is executive committee member in Women in Engineering Affinity Group IEEE Hyderabad Section 2022. She is IEEE WiE DL program Coordinator and IEEE Computer Society Lafayette section Vice Chair for 2024. She has delivered more than 35 invited talk/tutorial speech/expert talk in various platforms like International Conference /technical programs. She has organized 10 international conferences under different roles.

Chinmay Chakraborty, SMIEEE, MACM is an Associate Professor at Birla Institute of Technology, Mesra, India. He has a diverse academic and professional background with experience in various research and teaching positions. Dr. Chakraborty completed a Post-doctoral fellowship at the Federal University of Piauí, Brazil, and also visited the University of Malta in Europe. He has worked as a Sr. Lecturer at the ICFAI University in Tripura, India, and as a Research Consultant in the Coal India project at Industrial Engineering & Management, IIT Kharagpur. He has also served as the Project Coordinator of the Telecommunication Convergence Switch project under the Indo-US joint initiative. In addition, he has worked as a Network Engineer in System Administration at MISPL, India. His main research interests include the Internet of Medical Things (IoMT), AI/ML, Communication & Computing, Telemedicine, m-Health/e-health, and Medical Imaging. Dr. Chakraborty has a strong publication record with over 200 articles in peer-reviewed international journals, conferences, and book chapters. He has also authored 25+ books, obtained 6+ patents, and edited 20+ special issues in the field. His research contributions have been widely recognized, with notable metrics such as a Google h-index of 49, an i10-index of 144, a Scopus h-index of 39, and an ISI-WoS h-index of 33.

Martin Margala, PhD joined the School of Computing and Informatics as Professor and Director in August 2021. Before joining UL Lafayette, from September 2011 to July 2021, Dr. Margala was Professor and Chair of the Electrical and Computer Engineering Department at the University of Massachusetts Lowell and a Co-Director of the Center for Smart Cyber-Physical Systems (SCyPS). He received his PhD degree in Electrical and Computer Engineering from the University of Alberta, Canada (#61 in Global Ranking in North America region; #13 in Global subject specific ranking Electrical and Electronic Engineering in North America region USNews) in the spring of 1998. He is a senior member of ACM, IEEE, and SPIE with more than 50 journal and 200 peer reviewed conference publications in the areas of Design for Testability for Energy Efficient Architectures and Systems, High-Performance Reliable Low-Power Architectures and Reconfigurable Secure Architectures and Systems. Dr. Margala has directed 22 PhD students and 19 MS students, many of whom now hold leading positions in academia and industry. He has served on numerous program committees of international conferences and on workgroups (such as the International Technology Roadmap for Semiconductors) that have a great impact on the future direction of academia and industry.