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商品詳細
Metaheuristic Algorithms in Industry 4.0.
・ISBN 978-0-367-69839-3 hard GB£ 124.99
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| 著者・編者 | Shah, Pritesh / Sekhar, Ravi / Kulkarni, Anand J. / Siarry, Patrick (eds.), |
|---|---|
| シリーズ | (Advances in Metaheuristics) |
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2021 |
| ページ数 | 286 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A00-47602＞ |
解説
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, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.