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© 2020

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference

Proceedings of the EANN 2020

  • Lazaros Iliadis
  • Plamen Parvanov Angelov
  • Chrisina Jayne
  • Elias Pimenidis
Conference proceedings EANN 2020

Part of the Proceedings of the International Neural Networks Society book series (INNS, volume 2)

Table of contents

  1. Front Matter
    Pages i-xxvii
  2. Classification/Machine Learning

    1. Front Matter
      Pages 1-1
    2. Georgios Tsatiris, Kostas Karpouzis, Stefanos Kollias
      Pages 3-14
    3. Anastasios Panagiotis Psathas, Antonios Papaleonidas, George Papathanassiou, Sotiris Valkaniotis, Lazaros Iliadis
      Pages 15-31
    4. Anjana Wijekoon, Nirmalie Wiratunga
      Pages 32-44
  3. Convolutional Neural Networks in Robotics/Computer Vision

    1. Front Matter
      Pages 45-45
    2. Constanze Schwan, Wolfram Schenck
      Pages 70-81
  4. Machine Learning in Engineering and Environment

    1. Front Matter
      Pages 83-83
    2. Magdalini Tyrtaiou, Antonios Papaleonidas, Anaxagoras Elenas, Lazaros Iliadis
      Pages 85-98
    3. Sorin Liviu Jurj, Raul Rotar, Flavius Opritoiu, Mircea Vladutiu
      Pages 99-118
    4. Alessandro Cennamo, Florian Kaestner, Anton Kummert
      Pages 119-131
    5. Shun Matsukawa, Keita Suzuki, Chuzo Ninagawa, Junji Morikawa, Seiji Kondo
      Pages 132-142
    6. Harry Kontopoulos, Hatem Ahriz, Eyad Elyan, Richard Arnold
      Pages 143-154
    7. Serafí­n Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan J. Fuertes, Manuel Domí­nguez
      Pages 155-166
    8. Matteo Sangiorgio, Stefano Barindelli, Valerio Guglieri, Giovanna Venuti, Giorgio Guariso
      Pages 167-178
    9. Evgeny Zotov, Ashutosh Tiwari, Visakan Kadirkamanathan
      Pages 190-201
    10. Marina Kontou, Dimitrios Kapsoulis, Ioannis Baklagis, Kyriakos Giannakoglou
      Pages 202-214
    11. Eyad Elyan, Carlos Francisco Moreno-García, Pamela Johnston
      Pages 215-224

About these proceedings

Introduction

This book gathers the proceedings of the 21st Engineering Applications of Neural Networks Conference, which is supported by the International Neural Networks Society (INNS). Artificial Intelligence (AI) has been following a unique course, characterized by alternating growth spurts and “AI winters.” Today, AI is an essential component of the fourth industrial revolution and enjoying its heyday. Further, in specific areas, AI is catching up with or even outperforming human beings. This book offers a comprehensive guide to AI in a variety of areas, concentrating on new or hybrid AI algorithmic approaches with robust applications in diverse sectors.

One of the advantages of this book is that it includes robust algorithmic approaches and applications in a broad spectrum of scientific fields, namely the use of convolutional neural networks (CNNs), deep learning and LSTM in robotics/machine vision/engineering/image processing/medical systems/the environment; machine learning and meta learning applied to neurobiological modeling/optimization; state-of-the-art hybrid systems; and the algorithmic foundations of artificial neural networks.

Keywords

Artificial Neural Networks Artificial Intelligence Machine Learning EANN EANN 2020 Bioinformatics Medical Informatics Pattern Recognition Cybersecurity/AI IoT Anomaly Detection

Editors and affiliations

  • Lazaros Iliadis
    • 1
  • Plamen Parvanov Angelov
    • 2
  • Chrisina Jayne
    • 3
  • Elias Pimenidis
    • 4
  1. 1.School of Engineering, Department of Civil EngineeringDemocritus University of ThraceXanthiGreece
  2. 2.Lancaster UniversityLancasterUK
  3. 3.School of Computing and Digital TechnologiesTeesside UniversityMiddlesbroughUK
  4. 4.University of the West of EnglandBristolUK

Bibliographic information

  • Book Title Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference
  • Book Subtitle Proceedings of the EANN 2020
  • Editors Lazaros Iliadis
    Plamen Parvanov Angelov
    Chrisina Jayne
    Elias Pimenidis
  • Series Title Proceedings of the International Neural Networks Society
  • Series Abbreviated Title proc. of the International Neural Networks soc.
  • DOI https://doi.org/10.1007/978-3-030-48791-1
  • Copyright Information The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-3-030-48790-4
  • eBook ISBN 978-3-030-48791-1
  • Series ISSN 2661-8141
  • Series E-ISSN 2661-815X
  • Edition Number 1
  • Number of Pages XXVII, 619
  • Number of Illustrations 98 b/w illustrations, 161 illustrations in colour
  • Topics Artificial Intelligence
    Computational Intelligence
  • Buy this book on publisher's site
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