Real-time Applications of Machine Learning in Cyber-physical Systems (Advances in Computational Intelligence and Robotics)

ISBN 10: 1799893081 / ISBN 13: 9781799893080

Edité par Engineering Science Reference, 2022

In. N° de réf. du vendeur ria9781799893080_new

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.

À propos de l?auteur: Balamurugan Easwaran, College of Business Administration, Department of Accounting and Finance, A' Sharqiyah University, Oman

Kamal Kant Hiran, Sir Padampat Singhania University, India

Sangeetha Krishnan, University of Africa, Toru-Orua, Nigeria

Ruchi Doshi, Azteca University, Mexico

Détails bibliographiques

Titre : Real-time Applications of Machine Learning ...
Éditeur : Engineering Science Reference
Date d'édition : 2022
Reliure : Couverture rigide
Etat : New