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Can I read Metaheuristic Algorithms in Industry 4.0 (Advances in Metaheuristics) on EtoBox?

Metaheuristic Algorithms in Industry 4.0 (Advances in Metaheuristics) by Pritesh Shah (editor), Ravi Sekhar (editor), Anand J. Kulkarni (editor), Patrick Siarry (editor) is a nonfiction available to read on EtoBox.

What is Metaheuristic Algorithms in Industry 4.0 (Advances in Metaheuristics) about?

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 4.0 provides a guiding light to engineers, r

Who reads Metaheuristic Algorithms in Industry 4.0 (Advances in Metaheuristics)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Pritesh Shah (editor), Ravi Sekhar (editor), Anand J. Kulkarni (editor), Patrick Siarry (editor)
Publisher
CRC Press, Taylor & Francis Group
Published
2021
Language
EN
ISBN
9781000435948
Category
nonfiction
Subjects
Engineering, Mathematics, Computer Science

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