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Artificial Intelligence for Safety and Reliability Engineering: Methods, Applications and Challenges

Artificial Intelligence for Safety and Reliability Engineering: Methods, Applications and Challenges

Artificial Intelligence for Safety and Reliability Engineering: Methods,
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Artificial Intelligence for Safety and Reliability Engineering: Methods, Applications and Challenges Hardback - 2024

by Tran, Kim Phuc (Editor)

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Description

Springer Nature, 2024. Hardcover. New. 200 pages. 9.25x6.10x9.21 inches.
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Details

  • Title Artificial Intelligence for Safety and Reliability Engineering: Methods, Applications and Challenges
  • Author Tran, Kim Phuc (Editor)
  • Binding Hardback
  • Condition New
  • Pages 199
  • Volumes 1
  • Language ENG
  • Publisher Springer Nature
  • Publication date 2024
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # x-3031714946
  • ISBN 9783031714948 / 3031714946
  • Weight 1.03 lbs (0.47 kg)
  • Dimensions 9.21 x 6.14 x 0.5 in (23.39 x 15.60 x 1.27 cm)
  • Category Technology & Industrial Arts
  • Quantity available 2

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Reader reviews for Artificial Intelligence for Safety and Reliability Engineering: Methods, Applications and Challenges

From the publisher

This book is a comprehensive exploration of the latest theoretical research, technological advancements, and real-world applications of artificial intelligence (AI) for safety and reliability engineering.

Smart manufacturing relies on predictive maintenance (PdM) to ensure sustainable production systems, and the integration of AI has become increasingly prevalent in this field. This book serves as a valuable resource for researchers, practitioners, and decision-makers in manufacturing. By combining theoretical research, practical applications, and case studies, it equips readers with the necessary knowledge and tools to implement AI for safety and reliability engineering effectively in smart manufacturing contexts.

About the author

Kim Phuc Tran is a Senior Associate Professor (Matre de Confrences HDR, equivalent to UK Reader) of Artificial Intelligence and Data Science at the ENSAIT and the GEMTEX laboratory, University of Lille, France.

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