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Real-Time Applications of Machine Learning in Cyber-Physical Systems (Paperback)
Loot Price: R5,368
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Real-Time Applications of Machine Learning in Cyber-Physical Systems (Paperback)
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Technological advancements of recent decades have reshaped the way
people socialize, work, learn, and ultimately live. The use of
cyber-physical systems (CPS) specifically have helped people lead
their lives with greater control and freedom. CPS domains have
great societal significance, providing crucial assistance in
industries ranging from security to healthcare. At the same time,
machine learning (ML) algorithms are known for being substantially
efficient, high performing, and have become a real standard due to
greater accessibility, and now more than ever, multidisciplinary
applications of ML for CPS have become a necessity to help uncover
constructive solutions for real-world problems. Real-Time
Applications of Machine Learning in Cyber-Physical Systems provides
a relevant theoretical framework and the most recent empirical
findings on various real-time applications of machine learning in
cyber-physical systems. Covering topics like intrusion detection
systems, predictive maintenance, and seizure prediction, this book
is an essential resource for researchers, machine learning
professionals, independent researchers, scholars, scientists,
libraries, and academicians.
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