| 期刊全稱 | Artificial Intelligence in Manufacturing | | 期刊簡稱 | Enabling Intelligent | | 影響因子2023 | John Soldatos | | 視頻video | http://file.papertrans.cn/163/162478/162478.mp4 | | 發(fā)行地址 | Provides comprehensive coverage of artificial intelligence technologies and of their use cases in manufacturing.Presents architectures and advanced knowledge models for human robot collaboration, alon | | 圖書封面 |  | | 影響因子 | .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.. | | Pindex | Book‘‘‘‘‘‘‘‘ 2024 |
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