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Explainable artificial intelligence ...
~
Chen, Tin-Chih Toly.
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Explainable artificial intelligence (XAI) in manufacturing = methodology, tools, and applications /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Explainable artificial intelligence (XAI) in manufacturing/ by Tin-Chih Toly Chen.
Reminder of title:
methodology, tools, and applications /
Author:
Chen, Tin-Chih Toly.
Published:
Cham :Springer International Publishing : : 2023.,
Description:
vi, 105 p. :ill., digital ;24 cm.
[NT 15003449]:
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.
Contained By:
Springer Nature eBook
Subject:
Artificial intelligence - Industrial applications. -
Online resource:
https://doi.org/10.1007/978-3-031-27961-4
ISBN:
9783031279614
Explainable artificial intelligence (XAI) in manufacturing = methodology, tools, and applications /
Chen, Tin-Chih Toly.
Explainable artificial intelligence (XAI) in manufacturing
methodology, tools, and applications /[electronic resource] :by Tin-Chih Toly Chen. - Cham :Springer International Publishing :2023. - vi, 105 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-5318. - SpringerBriefs in applied sciences and technology..
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.
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 includes real-world case studies and examples to illustrate the practical applications of XAI in manufacturing. It is a valuable resource for researchers, engineers, and practitioners working in the field of AI and manufacturing.
ISBN: 9783031279614
Standard No.: 10.1007/978-3-031-27961-4doiSubjects--Topical Terms:
653318
Artificial intelligence
--Industrial applications.
LC Class. No.: TA347.A78
Dewey Class. No.: 670.28563
Explainable artificial intelligence (XAI) in manufacturing = methodology, tools, and applications /
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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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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 includes real-world case studies and examples to illustrate the practical applications of XAI in manufacturing. It is a valuable resource for researchers, engineers, and practitioners working in the field of AI and manufacturing.
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Engineering (SpringerNature-11647)
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