Artificial intelligence in manufacturing : enabling intelligent, flexible and cost-effective production through AI / John Soldatos, editor.
This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0)...
I tiakina i:
Ētahi atu kaituhi: | |
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Hōputu: | iPukapuka |
Reo: | English |
I whakaputaina: |
Cham :
Springer,
2024.
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Ngā marau: | |
Urunga tuihono: | Springer eBooks |
Whakarāpopototanga: | This open access book presents a rich set of innovative solutions for artificial intelligence (AI) in manufacturing. The various chapters of the book provide a broad coverage of AI systems for state of the art flexible production lines including both cyber-physical production systems (Industry 4.0) and emerging trustworthy and human-centered manufacturing systems (Industry 5.0). From a technology perspective, the book addresses a wide range of AI paradigms such as deep learning, reinforcement learning, active learning, agent-based systems, explainable AI, industrial robots, and AI-based digital twins. Emphasis is put on system architectures and technologies that foster human-AI collaboration based on trusted interactions between workers and AI systems. From a manufacturing applications perspective, the book illustrates the deployment of these AI paradigms in a variety of use cases spanning production planning, quality control, anomaly detection, metrology, workers' training, supply chain management, as well as various production optimization scenarios. This is an open access book. |
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Whakaahutanga tūemi: | Includes index. |
Whakaahuatanga ōkiko: | 1 online resource (xxvii, 505 pages) : illustrations |
ISBN: | 9783031464522 3031464524 |