TY  - BOOK
AU  - Shah,Pritesh
AU  - Sekhar,Ravi
AU  - Kulkarni,Anand Jayant
AU  - Siarry,Patrick
TI  - METAHEURISTIC ALGORITHMS IN INDUSTRY 4.0
SN  - 9781000435948
AV  - QA76.9.A43 
U1  - 519.6 23
PY  - 2021///
CY  - [S.l.]
PB  - CRC PRESS
KW  - Metaheuristics
KW  - Industrial applications
KW  - Mathematical optimization
KW  - Industry 4.0
KW  - COMPUTERS / Computer Graphics / Game Programming & Design
KW  - bisacsh
KW  - COMPUTERS / Data Processing / General
KW  - COMPUTERS / Machine Theory
N2  - Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuations. Smart computing techniques, machine learning, deep learning, computer vision, for example, will be inseparable from the highly automated factories of tomorrow. Effective cybersecurity will be a must for all Internet of Things (IoT) enabled work and office spaces. This book addresses metaheuristics in all aspects of Industry 4.0. It covers metaheuristic applications in IoT, cyber physical systems, control systems, smart computing, artificial intelligence, sensor networks, robotics, cybersecurity, smart factory, predictive analytics and more. Key features: Includes industrial case studies. Includes chapters on cyber physical systems, machine learning, deep learning, cybersecurity, robotics, smart manufacturing and predictive analytics. surveys current trends and challenges in metaheuristics and industry 4.0. Metaheuristic Algorithms in Industry 4.0provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes
UR  - https://www.taylorfrancis.com/books/9781003143505
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -