
Activity Recognition and Prediction for Smart IoT Environments (Internet of Things)
by: Michele Ianni (Editor),Antonella Guzzo (Editor),Raffaele Gravina (Editor),Hassan Ghasemzadeh (Editor),Zhelong Wang (Editor)&1more
Publisher: Springer
Edition: 2024th
Publication Date: 2024/8/21
Language: English
Print Length: 190 pages
ISBN-10: 3031600266
ISBN-13: 9783031600265
Book Description
This book provides the latest developments in activity recognition and prediction, with particular focus on the Internet of Things. The book covers advanced research and state of the art of activity prediction and its practical application in different IoT related contexts, ranging from industrial to scientific, from business to daily living, from education to government and so on. New algorithms, architectures, and methodologies are proposed, as well as solutions to existing challenges with a focus on security, privacy, and safety. The book is relevant to researchers, academics, professionals and students.
About the Author
This book provides the latest developments in activity recognition and prediction, with particular focus on the Internet of Things. The book covers advanced research and state of the art of activity prediction and its practical application in different IoT related contexts, ranging from industrial to scientific, from business to daily living, from education to government and so on. New algorithms, architectures, and methodologies are proposed, as well as solutions to existing challenges with a focus on security, privacy, and safety. The book is relevant to researchers, academics, professionals and students. Read more
Activity Recognition and Prediction for Smart IoT Environments (Internet of Things)
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