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Advances and Trends in Artificial Intelligence. From Theory to Practice

32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, Graz, Austria, July 9–11, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Franz Wotawa

    1. Institute for Software Technology, Graz University of Technology, Graz, Austria

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  2. Gerhard Friedrich

    1. Department of Applied Informatics, University of Klagenfurt, Klagenfurt, Austria

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  3. Ingo Pill

    1. Institute for Software Technology, Graz University of Technology, Graz, Austria

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  4. Roxane Koitz-Hristov

    1. Institute for Software Technology, Graz University of Technology, Graz, Austria

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  5. Moonis Ali

    1. Department of Computer Science, Texas State University, San Marcos, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11606)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: IEA/AIE 2019.

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About this book

This book constitutes the thoroughly refereed proceedings of the 32nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2019, held in Graz, Austria, in July 2019.

The 41 full papers and 32 short papers presented were carefully reviewed and selected from 151 submissions. The IEA/AIE 2019 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include engineering, science, industry, automation and robotics, business and finance, medicine and biomedicine, bioinformatics, cyberspace, and human-machine interactions. IEA/AIE 2019 will have a special focus on automated driving and autonomous systems and also contributions dealing with such systems or their verification and validation as well. 

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Table of contents (74 papers)

  1. Front Matter

    Pages i-xxiii
    Download chapter PDF

  2. AI for Estimation and Prediction

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. “It Could Be Worse, It Could Be Raining”: Reliable Automatic Meteorological Forecasting for Holiday Planning

      • Matteo Cristani, Francesco Domenichini, Claudio Tomazzoli, Margherita Zorzi
      Pages 3-11

    3. A Taxonomy of Event Prediction Methods

      • Fatma Ezzahra Gmati, Salem Chakhar, Wided Lejouad Chaari, Mark Xu
      Pages 12-26

    4. Infilling Missing Rainfall and Runoff Data for Sarawak, Malaysia Using Gaussian Mixture Model Based K-Nearest Neighbor Imputation

      • Po Chan Chiu, Ali Selamat, Ondrej Krejcar
      Pages 27-38

    5. On Using “Stochastic Learning on the Line” to Design Novel Distance Estimation Methods for Three-Dimensional Environments

      • Jessica Havelock, B. John Oommen, Ole-Christoffer Granmo
      Pages 39-49

    6. Predicting the Listing Status of Chinese Listed Companies Using Twin Multi-class Classification Support Vector Machine

      • Sining Zhao, Hamido Fujita
      Pages 50-62

    7. Robust Query Execution Time Prediction for Concurrent Workloads on Massive Parallel Processing Databases

      • Zhihao Zheng, Yuanzhe Bei, Hongyan Sun, Pengyu Hong
      Pages 63-70

    8. Thompson Sampling Based Active Learning in Probabilistic Programs with Application to Travel Time Estimation

      • Sondre Glimsdal, Ole-Christoffer Granmo
      Pages 71-78

    9. Towards Analyzing the Impact of Diversity and Cardinality on the Quality of Collective Prediction Using Interval Estimates

      • Van Du Nguyen, Hai Bang Truong, Ngoc Thanh Nguyen
      Pages 79-86

  3. Applied Neural Networks

    1. Front Matter

      Pages 87-87
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    2. Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation

      • Erlend Olsvik, Christian M. D. Trinh, Kristian Muri Knausgård, Arne Wiklund, Tonje Knutsen Sørdalen, Alf Ring Kleiven et al.
      Pages 89-101

    3. Distance Metrics in Open-Set Classification of Text Documents by Local Outlier Factor and Doc2Vec

      • Tomasz Walkowiak, Szymon Datko, Henryk Maciejewski
      Pages 102-109

    4. Hydropower Optimization Using Deep Learning

      • Bernt Viggo Matheussen, Ole-Christoffer Granmo, Jivitesh Sharma
      Pages 110-122

    5. Towards Real-Time Head Pose Estimation: Exploring Parameter-Reduced Residual Networks on In-the-wild Datasets

      • Ines Rieger, Thomas Hauenstein, Sebastian Hettenkofer, Jens-Uwe Garbas
      Pages 123-134

  4. Autonomous Systems and Automated Driving

    1. Front Matter

      Pages 135-135
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    2. A Rule-Based Smart Control for Fail-Operational Systems

      • Georg Engel, Gerald Schweiger, Franz Wotawa, Martin Zimmermann
      Pages 137-145

    3. Autonomous Monitoring of Air Quality Through an Unmanned Aerial Vehicle

      • Víctor H. Andaluz, Fernando A. Chicaiza, Geovanny Cuzco, Christian P. Carvajal, Jessica S. Ortiz, José Morales et al.
      Pages 146-157

    4. Intelligent Parking Management by Means of Capability Oriented Requirements Engineering

      • Mohamed Salah Hamdi, Adnane Ghannem, Pericles Loucopoulos, Evangelia Kavakli, Hany Ammar
      Pages 158-172

    5. Neural Network Control System of Motion of the Robot in the Environment with Obstacles

      • Viacheslav Pshikhopov, Mikhail Medvedev, Maria Vasileva
      Pages 173-181
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Other volumes

  1. Advances and Trends in Artificial Intelligence. From Theory to Practice

Editors and Affiliations

  • Institute for Software Technology, Graz University of Technology, Graz, Austria

    Franz Wotawa, Ingo Pill, Roxane Koitz-Hristov

  • Department of Applied Informatics, University of Klagenfurt, Klagenfurt, Austria

    Gerhard Friedrich

  • Department of Computer Science, Texas State University, San Marcos, USA

    Moonis Ali

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