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Intelligent Systems in Industrial Applications

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Martin Stettinger

    1. Graz University of Technology, Graz, Austria

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  2. Gerhard Leitner

    1. University of Klagenfurt, Klagenfurt, Austria

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  3. Alexander Felfernig

    1. Graz University of Technology, Klagenfurt, Austria

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  4. Zbigniew W. Ras

    1. University of North Carolina, Charlotte, USA

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  • 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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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.

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Table of contents (14 papers)

  1. Front Matter

    Pages i-xvi
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  2. Applications in the Automotive and Transport Sector

    1. Front Matter

      Pages 1-1
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    2. Parameter Tuning for Speed Changes Detection in On-Road Audio Recordings of Single Drives

      • Elżbieta Kubera, Alicja Wieczorkowska, Andrzej Kuranc
      Pages 3-14

    3. Attempt to Better Trust Classification Models: Application to the Ageing of Refrigerated Transport Vehicles

      • Marie Le Guilly, Claudia Capo, Jean-Marc Petit, Vasile-Marian Scuturici, Rémi Revellin, Jocelyn Bonjour et al.
      Pages 15-27

  3. Perspectives on Artificial Learning

    1. Front Matter

      Pages 29-29
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    2. Automatic Stopwords Identification from Very Small Corpora

      • Stefano Ferilli, Giovanni Luca Izzi, Tiziano Franza
      Pages 31-46

    3. BacAnalytics: A Tool to Support Secondary School Examination in France

      • Azim Roussanaly, Marharyta Aleksandrova, Anne Boyer
      Pages 47-58

    4. Towards Visual Concept Learning and Reasoning: On Insights into Representative Approaches

      • Anna Saranti, Simon Streit, Heimo Müller, Deepika Singh, Andreas Holzinger
      Pages 59-68

    5. The Impact of Supercategory Inclusion on Semantic Classifier Performance

      • Piotr Borkowski, Krzysztof Ciesielski, MieczysÅ‚aw A. KÅ‚opotek
      Pages 69-79

    6. Recognition of the Flue Pipe Type Using Deep Learning

      • Damian WÄ™grzyn, Piotr Wrzeciono, Alicja Wieczorkowska
      Pages 80-93

  4. Industrial Applications

    1. Front Matter

      Pages 95-95
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    2. Adaptive Autonomous Machines - Modeling and Architecture

      • Lothar Hotz, Rainer Herzog, Stephanie von Riegen
      Pages 97-106

    3. Automated Completion of Partial Configurations as a Diagnosis Task Using FastDiag to Improve Performance

      • Cristian Vidal-Silva, José A. Galindo, Jesús Giráldez-Cru, David Benavides
      Pages 107-117

    4. Exploring Configurator Users’ Motivational Drivers for Digital Social Interaction

      • Chiara Grosso, Cipriano Forza
      Pages 118-138

    5. Impact of the Application of Artificial Intelligence Technologies in a Content Management System of a Media

      • Ignacio Romero, Jorge Estrada, Angel L. Garrido, Eduardo Mena
      Pages 139-152

    6. A Conversion of Feature Models into an Executable Representation in Microsoft Excel

      • Viet-Man Le, Thi Ngoc Trang Tran, Alexander Felfernig
      Pages 153-168

  5. Basic Research and Algorithmic Problems

    1. Front Matter

      Pages 169-169
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    2. Explainable Artificial Intelligence. Model Discovery with Constraint Programming

      • Antoni LigÄ™za, PaweÅ‚ JemioÅ‚o, Weronika T. Adrian, Mateusz ÅšlażyÅ„ski, Marek Adrian, Krystian Jobczyk et al.
      Pages 171-191

    3. Deep Distributional Temporal Difference Learning for Game Playing

      • Frej Berglind, Jianhua Chen, Alexandros Sopasakis
      Pages 192-206

  6. Back Matter

    Pages 207-208
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Other volumes

  1. Foundations of Intelligent Systems

  2. Intelligent Systems in Industrial Applications

Editors and Affiliations

  • Graz University of Technology, Graz, Austria

    Martin Stettinger

  • University of Klagenfurt, Klagenfurt, Austria

    Gerhard Leitner

  • Graz University of Technology, Klagenfurt, Austria

    Alexander Felfernig

  • University of North Carolina, Charlotte, USA

    Zbigniew W. Ras

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: 18 February 2022

  • 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

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