Overview
- Includes recent developments of the use of Explainable Artificial Intelligence (XAI) in order to address the challenges of digital transition and cyber-physical systems
- Provides a textual scientific description of the use of XAI in order to address the challenges of digital transition and cyber-physical systems
- Presents multiple examples and case studies in order to increase transparency and understanding of the methodological concepts
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Table of contents (9 chapters)
Keywords
About this book
- Includes recent developments of the use of Explainable Artificial Intelligence (XAI) in order to address the challenges of digital transition and cyber-physical systems;
- Provides a textual scientific description of the use of XAI in order to address the challenges of digital transition and cyber-physical systems;
- Presents examples and case studies in order to increase transparency and understanding of the methodological concepts.
Editors and Affiliations
About the editor
Bibliographic Information
Book Title: Explainable AI Within the Digital Transformation and Cyber Physical Systems
Book Subtitle: XAI Methods and Applications
Editors: Moamar Sayed-Mouchaweh
DOI: https://doi.org/10.1007/978-3-030-76409-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-76408-1Published: 31 October 2021
Softcover ISBN: 978-3-030-76411-1Published: 31 October 2022
eBook ISBN: 978-3-030-76409-8Published: 30 October 2021
Edition Number: 1
Number of Pages: X, 198
Number of Illustrations: 69 b/w illustrations
Topics: Communications Engineering, Networks, Computational Intelligence, Artificial Intelligence, Data Mining and Knowledge Discovery, Statistics, general