Artificial Intelligence In Manufacturing Enabling Intelligent, Flexible And Cost-Effective Production Through AI

Farid-Khan

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John Soldatos | 2024 | ISBN: 3031464516 | English | 532 pages | ePUB, PDF | Number MB​

Publisher: Springer Nature Switzerland
Description:
This 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.

? Contents of Download:
? 978-3-031-46452-2.epub (John Soldatos) (2024) (52.31 MB)
? 978-3-031-46452-2.pdf (14.62 MB)

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⭐Artificial Intelligence In Manufacturing Enabling Intelligent, Flexible And Cost-Effective Production Through AI ✅ (66.93 MB)
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