Overview
- Presents the latest research on Intelligent Systems in Industrial Applications
- Contains the papers included in the industrial track of the 25th International Symposium on Methodologies for Intelligent Systems (ISMIS 2020), which was held in Graz, Austria, on September 23–25, 2020
- Written by experts in the field
Part of the book series: Studies in Computational Intelligence (SCI, volume 949)
Included in the following conference series:
Conference proceedings info: ISMIS 2020.
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Table of contents (14 papers)
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Front Matter
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Applications in the Automotive and Transport Sector
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Front Matter
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Perspectives on Artificial Learning
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Front Matter
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Industrial Applications
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Front Matter
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Basic Research and Algorithmic Problems
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Front Matter
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Back Matter
Other volumes
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Foundations of Intelligent Systems
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Intelligent Systems in Industrial Applications
Keywords
About this book
This book presents a selection of papers from the industrial track of ISMIS 2020. The selection emphasizes broad applicability of artificial intelligence (AI) technologies in various industrial fields. The aim of the book is to fertilize preliminary ideas of readers on the application of AI by means of already successfully implemented application examples. Furthermore, the development of new ideas and concepts shall be motivated by the variety of different application examples. The spectrum of the presented contributions ranges from education and training, industrial applications in production and logistics to the development of new approaches in basic research, which will further expand the possibilities of future applications of AI in industrial settings. This broad spectrum gives readers working in the industrial as well as the academic field a good overview of the state of the art in the field of methodologies for intelligent systems.
Editors and Affiliations
Bibliographic Information
Book Title: Intelligent Systems in Industrial Applications
Editors: Martin Stettinger, Gerhard Leitner, Alexander Felfernig, Zbigniew W. Ras
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-67148-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-67147-1Published: 04 February 2021
Softcover ISBN: 978-3-030-67590-5Due: 07 March 2021
eBook ISBN: 978-3-030-67148-8Published: 03 February 2021
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XVI, 208
Number of Illustrations: 31 b/w illustrations, 53 illustrations in colour
Topics: Computational Intelligence, Industrial and Production Engineering
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, Finance, Business & Banking, Health & Hospitals, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications