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Combining Visual Intelligence and Federated Learning in Smart Healthcare

By Manisha Guduri

Combining Visual Intelligence and Federated Learning in Smart Healthcare Medicine

Combining Visual Intelligence and Federated Learning in Smart Healthcare

0 - Default Title
Description
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.
Product details
Number of Pages:
380
Release Date:
2025-01-24
Publication Date:
2025-08-11
Publisher:
IGI Global
Languages:
Original: English
ISBN13:
9798369360941
Weight:
908 g
Height:
183 cm
Width:
260 cm
Thickness:
25 cm
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