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Record Nr. |
UNINA9910682553603321 |
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Autore |
Chen Tin-Chih Toly |
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Titolo |
Explainable Artificial Intelligence (XAI) in Manufacturing : Methodology, Tools, and Applications / / by Tin-Chih Toly Chen |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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9783031279614 |
9783031279607 |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (110 pages) : illustrations |
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Collana |
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SpringerBriefs in Applied Sciences and Technology, , 2191-5318 |
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Disciplina |
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Soggetti |
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Industrial engineering |
Production engineering |
Production management |
Artificial intelligence |
Industrial and Production Engineering |
Production |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Chapter 1: Explainable Artificial Intelligence (XAI) in Manufacturing -- Chapter 2: Applications of XAI for Forecasting in the Manufacturing Domain -- Chapter 3: Applications of XAI for Decision Making in the Manufacturing Domain -- Chapter 4: Applications of XAI to Job Sequencing and Scheduling in Manufacturing. |
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Sommario/riassunto |
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This book provides a comprehensive overview of the latest developments in Explainable AI (XAI) and its applications in manufacturing. It covers the various methods, tools, and technologies that are being used to make AI more understandable and communicable for factory workers. With the increasing use of AI in manufacturing, there is a growing need to address the limitations of advanced AI methods that are difficult to understand or explain to those without a background in AI. This book addresses this need by providing a systematic review of the latest research and advancements in XAI specifically tailored for the manufacturing industry. The book |
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