Intelligent systems in industrial applications / Martin Stettinger, Gerhard Leitner, Alexander Felfernig, Zbigniew W. Ras, editors.
International Symposium on Methodologies for Intelligent Systems (25th : 2020 : Online); Stettinger, Martin.; Leitner, Gerhard.; Felfernig, Alexander.; Raś, Zbigniew.
2021
TA347.A78
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Title Intelligent systems in industrial applications / Martin Stettinger, Gerhard Leitner, Alexander Felfernig, Zbigniew W. Ras, editors.
Meeting Name International Symposium on Methodologies for Intelligent Systems (25th : 2020 : Online)
ISBN 9783030671488 (electronic bk.)
3030671488 (electronic bk.)
9783030671471 (print)
303067147X
DOI https://doi.org/10.1007/978-3-030-67148-8
Publication Details Cham : Springer, 2021.
Language English
Description 1 online resource (218 pages)
Item Number 10.1007/978-3-030-67148-8 doi
Call Number TA347.A78
Dewey Decimal Classification 620.00285/63
Summary 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.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed March 17, 2021).
Added Author Stettinger, Martin.
Leitner, Gerhard.
Felfernig, Alexander.
Raś, Zbigniew.
Series Studies in computational intelligence ; v. 949.
Available in Other Form Intelligent Systems in Industrial Applications.
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Part I: Applications in the Automotive and Transport Sector
Parameter Tuning for Speed Changes Detection in On-Road Audio Recordings of Single Drives?
Attempt to better trust classication models: Application to the Ageing of Refrigerated Transport Vehicles
Part II: Perspectives on Articial Learning
Automatic Stopwords Identication from Very Small Corpora
BacAnalytics: A Tool to Support Secondary School Examination inFrance
Towards Visual Concept Learning and Reasoning: On Insights into Representative Approaches
The Impact of Supercategory Inclusion on Semantic Classier Performance
Recognition of the Flue Pipe Type Using Deep Learning
Part III: Industrial Applications
Adaptive Autonomous Machines
Modeling and Architecture?
Automated completion of partial congurations as a diagnosis task Using FastDiag to improve performance
Exploring congurator users motivational drivers for digital social interaction
Impact of the Application of Articial Intelligence Technologies in a Content Management System of a Media
A Conversion of Feature Models into an Executable Representation in Microsoft Excel
Part IV: Basic Research and Algorithmic Problems
Explainable Articial Intelligence. Model Discovery with Constraint Programming
Deep Distributional Temporal Dierence Learning for Game Playing.

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