Explainable artificial intelligence (XAI) in manufacturing : methodology, tools, and applications / Tin-Chih Toly Chen
Material type: TextSeries: Publisher: Cham, Switzerland : Springer, 2023Description: 1 online resource (110 pages)ISBN: 9783031279607; 9783031279607Subject(s): Artificial intelligence | Manufacturing processesDDC classification: 670.285/63 Online resources: Click here to access online | Click here to access online | Click here to access onlineItem type | Current library | Call number | Status | Date due | Barcode |
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Books | Gabriel Afolabi Ojo Central Library (Headquarters). | QA248.5 C44 2023 (Browse shelf(Opens below)) | Available | 0195065 | |
Books | Gabriel Afolabi Ojo Central Library (Headquarters). | QA248.5 C44 2023 (Browse shelf(Opens below)) | Available | 0195066 |
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
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