Real-Time Applications of Machine Learning in Cyber-Physical Systems - Softcover

Softcover

ISBN 10: 179989309X ISBN 13: 9781799893097

Publisher: Engineering Science Reference, 2022

Synopsis

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.

Edition details

• Publisher: Engineering Science Reference
• Publication date: 2022
• Language: English
• ISBN 10: 179989309X
• ISBN 13: 9781799893097
• Binding: Paperback
• Number of pages: 340
• Editor: Easwaran Balamurugan, Hiran Kamal Kant, Krishnan Sangeetha