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| 020 | _a9783031464515 | ||
| 020 |
_a9783031464522 _q(electronic bk.) |
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| 020 |
_a3031464524 _q(electronic bk.) |
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| 024 | 7 |
_a10.1007/978-3-031-46452-2 _2doi |
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| 035 |
_a(OCoLC)1422831888 _z(OCoLC)1424760601 _z(OCoLC)1425815646 _z(OCoLC)1427209813 _z(OCoLC)1427215956 _z(OCoLC)1428267681 _z(OCoLC)1439916885 _z(OCoLC)1452413361 _z(OCoLC)1456760223 _z(OCoLC)1472992840 _z(OCoLC)1485009211 _z(OCoLC)1506210526 _z(OCoLC)1535410714 _z(OCoLC)1537950059 _z(OCoLC)1561178559 |
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| 035 | 9 | _a(OCLCCM-CC)1422831888 | |
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| 041 | _aeng | ||
| 049 | _aMAIN | ||
| 050 | 4 | _aTA347.A78 | |
| 072 | 7 |
_aTJK _2bicssc |
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_aTEC041000 _2bisacsh |
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| 082 | 0 | 0 | _223 |
| 245 | 0 | 0 |
_aArtificial intelligence in manufacturing : _benabling intelligent, flexible and cost-effective production through AI / _cJohn Soldatos, editor. |
| 264 | 1 |
_aCham : _bSpringer, _c2024. |
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| 300 |
_a1 online resource (xxvii, 505 pages) : _billustrations (some color) |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 500 | _aIncludes index. | ||
| 505 | 0 | _aIntroduction -- Part I Architectures and Knowledge Modelling for AI in Manufacturing -- Reference Architecture for AI-based Industry 5.0 Applications -- Designing a Marketplace to Exchange AI Models for Industry 4.0 -- Domain Ontology Enrichment through Human-AI Interaction -- Survey of Knowledge Graphs in Industrial Settings -- From Knowledge to Wisdom: Leveraging Semantic Representations via Knowledge Graph Embeddings -- Advancing high value-added networked production through Decentralized Technical Intelligence -- Part II AI-based Digital Twins for Manufacturing Applications -- Digital-Twin enabled framework for training and deploying AI agents for production scheduling -- Digital Twin for Human Machine Interaction -- Learning-based Collaborative Digital Twins -- A Manufacturing Digital Twin Framework -- Part III Agent based Approaches for AI in Manufacturing -- Reinforcement Learning based approaches in manufacturing environments -- A participatory modelling approach to Agents in Industry using AAS -- 4.0 Holonic Multi-Agent Testbed Enabling Shared Production -- Application of a Multi agent system on production and scheduling optimization -- Integrating Knowledge to Conversational Agents for Worker Upskilling -- Part IV Trusted AI for Industry 5.0 Applications -- Wearable sensor-based human activity recognition for worker safety in manufacturing line -- Object detection for human-robot interaction and worker assistance systems -- Application of autoML, XAI and differential privacy method into manufacturing -- Anomaly Detection in Manufacturing -- Towards Industry 5.0 by incorporation of Trustworthy and Human-Centric approaches -- How AI changes human roles in Industry 5.0-enabled environments: Human in the AI loop via xAI and Active Learning for Manufacturing Quality Control -- Multi-Stakeholder Perspective on Human-AI Collaboration in Industry 5.0 -- Conclusion. | |
| 520 | _aThis 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. | ||
| 540 |
_aCreative Commons Attribution 4.0 International _fCC BY 4.0 _uhttp://creativecommons.org/licenses/by/4.0/ |
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| 588 | 0 | _aOnline resource; title from PDF title page (SpringerLink, viewed February 21, 2024). | |
| 650 | 0 |
_aArtificial intelligence _xIndustrial applications. |
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| 650 | 0 |
_aManufacturing processes _xData processing. |
|
| 650 | 0 |
_aTelecommunication. _0http://id.loc.gov/authorities/subjects/sh85133270 |
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| 650 | 0 |
_aArtificial intelligence. _0http://id.loc.gov/authorities/subjects/sh85008180 |
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| 650 | 0 |
_aBlockchains (Databases) _0http://id.loc.gov/authorities/subjects/sh2016002790 |
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| 650 | 0 |
_aBusiness information services. _0http://id.loc.gov/authorities/subjects/sh85018267 |
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| 655 | 4 | _aElectronic books. | |
| 700 | 1 |
_aSoldatos, John, _eeditor. _1https://id.oclc.org/worldcat/entity/E39PCjyBrHhTg9rd7QVdMWqhHC _0http://id.loc.gov/authorities/names/no2017048207 |
|
| 856 | 4 | 0 |
_uhttps://directory.doabooks.org/handle/20.500.12854/134120 _yFull text is available at the Directory of Open Access Books. Click here to view. |
| 942 |
_2ddc _cOA |
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