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Intelligent Systems in Industrial Applications (Studies in Computational Intelligence, nr. 949)

Editat de Martin Stettinger, Gerhard Leitner, Alexander Felfernig, Zbigniew W. Ras
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en Limba Engleză Paperback – 18 Feb 2022
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.
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Specificații

ISBN-13: 9783030675905
ISBN-10: 3030675904
Ilustrații: XVI, 208 p. 84 illus., 53 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.32 kg
Ediția: 1st ed. 2021
Editura: Springer
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării: Cham, Switzerland

Cuprins

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 classification models: Application to the Ageing of Refrigerated Transport Vehicles.- Part II: Perspectives on Artificial Learning.- Automatic Stopwords Identification 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 Classifier Performance.- Recognition of the Flue Pipe Type Using Deep Learning.- Part III: Industrial Applications.- Adaptive Autonomous Machines - Modeling and Architecture?.- Automated completion of partial configurations as a diagnosis task Using FastDiag to improve performance.- Exploring configurator users’ motivational drivers for digital social interaction.- Impact of the Application of Artificial 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 Artificial Intelligence. Model Discovery with Constraint Programming.- Deep Distributional Temporal Difference Learning for Game Playing.

Textul de pe ultima copertă

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.

Caracteristici

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