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.
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 2325, 2020
Written by experts in the fieldInhalt
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.