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Deep Learning Applications for Cyber-Physical Systems

Language EnglishEnglish
Book Paperback
Book Deep Learning Applications for Cyber-Physical Systems Monica R. Mundada
Libristo code: 36682849
Publishers IGI Global, October 2021
Big data generates around us constantly from daily business, custom use, engineering, and science ac... Full description
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Big data generates around us constantly from daily business, custom use, engineering, and science activities. Sensory data is collected from the internet of things (IoT) and cyber-physical systems (CPS). Merely storing such a massive amount of data is meaningless, as the key point is to identify, locate, and extract valuable knowledge from big data to forecast and support services. Such extracted valuable knowledge is usually referred to as smart data. It is vital to providing suitable decisions in business, science, and engineering applications. Deep Learning Applications for Cyber-Physical Systems provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analyzing evolving trends in health informatics and computer-aided diagnosis in deep learning techniques in context with cyber physical systems. Covering topics such as smart medical systems, intrusion detection systems, and predictive analytics, this text is essential for computer scientists, engineers, practitioners, researchers, students, and academicians, especially those interested in the areas of internet of things, machine learning, deep learning, and cyber-physical systems.

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About the book

Full name Deep Learning Applications for Cyber-Physical Systems
Language English
Binding Book - Paperback
Date of issue 2021
Number of pages 330
EAN 9781799881629
ISBN 1799881628
Libristo code 36682849
Publishers IGI Global
Weight 605
Dimensions 216 x 279 x 17
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