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  • © 2017

Engineering Applications of Neural Networks

18th International Conference, EANN 2017, Athens, Greece, August 25–27, 2017, Proceedings

Conference proceedings info: EANN 2017.

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  • ISBN: 978-3-319-65172-9
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Softcover Book USD 139.99
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Table of contents (61 papers)

  1. Front Matter

    Pages I-XIX
  2. ANN in Engineering Applications

    1. Front Matter

      Pages 1-1
    2. Motion-Specialized Deep Convolutional Descriptor for Plant Water Stress Estimation

      • Shun Shibata, Yukimasa Kaneda, Hiroshi Mineno
      Pages 3-14
    3. Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders

      • Antonio Morán, Serafín Alonso, Miguel A. Prada, Juan J. Fuertes, Ignacio Díaz, Manuel Domínguez
      Pages 15-26
    4. A Neural Network Approach for Predicting the Diameters of Electrospun Polyvinylacetate (PVAc) Nanofibers

      • Cosimo Ieracitano, Fabiola Pantò, Patrizia Frontera, Francesco Carlo Morabito
      Pages 27-38
    5. Memristor Based Chaotic Neural Network with Application in Nonlinear Cryptosystem

      • N. Varsha Prasad, Sriharini Tumu, A. Ruhan Bevi
      Pages 49-60
  3. Classification Pattern Recognition

    1. Front Matter

      Pages 61-61
    2. DSS-PSP - A Decision Support Software for Evaluating Students’ Performance

      • Ioannis E. Livieris, Konstantina Drakopoulou, Thodoris Kotsilieris, Vassilis Tampakas, Panagiotis Pintelas
      Pages 63-74
    3. Predicting Student Performance in Distance Higher Education Using Active Learning

      • Georgios Kostopoulos, Anastasia-Dimitra Lipitakis, Sotiris Kotsiantis, George Gravvanis
      Pages 75-86
    4. Heuristics-Based Detection to Improve Text/Graphics Segmentation in Complex Engineering Drawings

      • Carlos Francisco Moreno-García, Eyad Elyan, Chrisina Jayne
      Pages 87-98
    5. Intrinsic Plagiarism Detection with Feature-Rich Imbalanced Dataset Learning

      • Andrianna Polydouri, Georgios Siolas, Andreas Stafylopatis
      Pages 99-110
    6. Random Resampling in the One-Versus-All Strategy for Handling Multi-class Problems

      • Christos K. Aridas, Stamatios-Aggelos N. Alexandropoulos, Sotiris B. Kotsiantis, Michael N. Vrahatis
      Pages 111-121
    7. A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control Systems

      • Konstantinos Demertzis, Lazaros Iliadis, Stefanos Spartalis
      Pages 122-134
  4. Deep Learning Convolutional ANN

    1. Front Matter

      Pages 135-135
    2. Boosted Residual Networks

      • Alan Mosca, George D. Magoulas
      Pages 137-148
    3. Remarks on Tea Leaves Aroma Recognition Using Deep Neural Network

      • Kazuhiko Takahashi, Iwao Sugimoto
      Pages 160-167
    4. Baby Cry Sound Detection: A Comparison of Hand Crafted Features and Deep Learning Approach

      • Rafael Torres, Daniele Battaglino, Ludovick Lepauloux
      Pages 168-179
  5. Deep Learning Image Analysis

    1. Front Matter

      Pages 181-181

Other Volumes

  1. Engineering Applications of Neural Networks

    18th International Conference, EANN 2017, Athens, Greece, August 25–27, 2017, Proceedings

About this book

This book constitutes the refereed proceedings of the 18th International Conference on Engineering Applications of Neural Networks, EANN 2017, held in Athens, Greece, in August 2017.

The 40 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 83 submissions. The papers cover the topics of deep learning, convolutional neural networks, image processing, pattern recognition, recommendation systems, machine learning, and applications of Artificial Neural Networks (ANN) applications in engineering, 5G telecommunication networks, and audio signal processing. The volume also includes papers presented at the 6th Mining Humanistic Data Workshop (MHDW 2017) and the 2nd Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE).

Keywords

  • algorithms
  • applied computing
  • artificial intelligence
  • classification
  • cloud computing
  • computational intelligence
  • computer crime
  • convolutional neural networks
  • deep learning
  • image processing
  • learning algorithms
  • machine learning
  • neural networks
  • signal processing
  • supervised learning
  • Support Vector Machines (SVM)
  • wireless networks

Editors and Affiliations

  • Politecnico di Milano, Milan, Italy

    Giacomo Boracchi

  • Democritus University of Thrace, University Campus, Xanthi, Greece

    Lazaros Iliadis

  • School of Computing Science and Digital Media, Robert Gordon University, Aberdeen, United Kingdom

    Chrisina Jayne

  • Univesity of Ioannina, Ioannina, Greece

    Aristidis Likas

Bibliographic Information

Buying options

eBook USD 109.00
Price excludes VAT (USA)
  • ISBN: 978-3-319-65172-9
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 139.99
Price excludes VAT (USA)