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Artificial Intelligence in Manufacturing

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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Detail Information
Series Title
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Call Number
Business mathematics and systems
Publisher
Cham : Springer Nature.,
Collation
-
Language
English
ISBN/ISSN
9783031464522
Classification
Business mathematics and systems
Content Type
text
Media Type
computer
Carrier Type
online resource
Edition
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Subject(s)
Industry 4.0
Specific Detail Info
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Statement of Responsibility
Other Information
Cataloger
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Source
https://directory.doabooks.org/handle/20.500.12854/134120
Validator
Suwardi
Digital Object Identifier (DOI)
10.1007/978-3-031-46452-2
Journal Volume
-
Journal Issue
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Subtitle
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Parallel Title
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No other version available

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