Combining Visual Intelligence and Federated Learning in Smart Healthcare
Language: English
Published by IGI Global, 2025
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 349.68
Quantity: 2 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…
Seller Inventory # 9798369360958
- Title
- Combining Visual Intelligence and Federated Learning in Smart Healthcare
- Author
- Martin Margala
- Publisher
- IGI Global
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798369360958
- Item weight
- 713 grams
- Dimensions
- 254x178x20 mm
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Chinmay Chakraborty, received a Post-doctoral fellowship at the Federal University of Piauí, Brazil, and also visited the University of Malta in Europe and Chongqing Tech. & Business Univ., China. He is an Associate Professor of KIIT-DU, India. His main research interests include the Internet of Medical Things, AI-ML, Communication & Computing, m-Health/e-health, and Medical Imaging. Dr. Chakraborty has a strong publication record with over 250 articles in peer-reviewed international journals, conferences, and book chapters. He has secured a top 2% position among global scientists by Stanford University in both 2021-24. He has also received a Marie Skłodowska-Curie Actions Europe Fellowship Grant, Horizon 2023, and has been nominated as a "Prominent Young Researcher" at the INAE, SERB, India. He Received Prize Ideation Startup Competition at the ANRF (SERB) - INAE Conclave, 2025. He received BIT BITFAA'24 award, 2024 and nominated as AICTE-Distinguished Professional, 2025.
Prof. 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.
"About the title" may belong to another edition of this title.
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