Engineering Applications of Neural Networks

20th International Conference, EANN 2019, Xersonisos, Crete, Greece, May 24-26, 2019, Proceedings

  • John Macintyre
  • Lazaros Iliadis
  • Ilias Maglogiannis
  • Chrisina Jayne
Conference proceedings EANN 2019

Part of the Communications in Computer and Information Science book series (CCIS, volume 1000)

Table of contents

  1. Front Matter
    Pages i-xxv
  2. Invited Paper

    1. Front Matter
      Pages 1-1
  3. AI in Energy Management - Industrial Applications

    1. Front Matter
      Pages 17-17
    2. Nikolaos Symeonidis, Christoforos Nalmpantis, Dimitris Vrakas
      Pages 19-30
    3. Nameer Al Khafaf, Mahdi Jalili, Peter Sokolowski
      Pages 31-42
    4. Sven Myrdahl Opalic, Morten Goodwin, Lei Jiao, Henrik Kofoed Nielsen, Mohan Lal Kolhe
      Pages 43-54
    5. Lukas Kaupp, Ulrich Beez, Jens Hülsmann, Bernhard G. Humm
      Pages 55-65
    6. Valentina Colla, Ismael Matino, Stefano Dettori, Silvia Cateni, Ruben Matino
      Pages 66-79
    7. Christoforos Nalmpantis, Dimitris Vrakas
      Pages 80-90
  4. Biomedical - Bioinformatics Modeling

    1. Front Matter
      Pages 91-91
    2. Stavros Ntalampiras, Ilyas Potamitis
      Pages 93-103
    3. Arthur Silveira, Cristian Muñoz, Leonardo Mendoza
      Pages 115-124
    4. Beatriz A. Garro, Roberto A. Vazquez
      Pages 125-136
  5. Classification - Learning

    1. Front Matter
      Pages 137-137
    2. Nima Joorabloo, Mahdi Jalili, Yongli Ren
      Pages 151-163
    3. Rolandos-Alexandros Potamias, Georgios Siolas, Andreas Stafylopatis
      Pages 164-175
    4. Lamprini Kyrkou, Christoforos Nalmpantis, Dimitris Vrakas
      Pages 188-196
    5. Amal Bouraoui, Salma Jamoussi, Abdelmajid Ben Hamadou
      Pages 197-207
    6. Paulo V. de Campos Souza, Vinicius J. Silva Araujo, Vanessa S. Araujo, Lucas O. Batista, Augusto J. Guimaraes
      Pages 208-220
    7. Hasniza Hassan, Syahid Anuar, Nor Bahiah Ahmad
      Pages 221-231
  6. Deep Learning

    1. Front Matter
      Pages 233-233
    2. Andreea-Iulia Patachi, Florin Leon, Doina Logofătu
      Pages 235-245
    3. Konstantinos Demertzis, Lazaros Iliadis, Vardis-Dimitris Anezakis
      Pages 246-261
    4. Sotiris K. Tasoulis, Georgios I. Mallis, Spiros V. Georgakopoulos, Aristidis G. Vrahatis, Vassilis P. Plagianakos, Ilias G. Maglogiannis
      Pages 262-273
    5. Sanjay Kumar, Manish Kumar
      Pages 299-306
    6. Serafín Alonso, Antonio Morán, Daniel Pérez, Perfecto Reguera, Ignacio Díaz, Manuel Domínguez
      Pages 307-319
  7. Deep Learning - Convolutional ANN

    1. Front Matter
      Pages 321-321
    2. George Papadopoulos, Nikolaos Vassilas, Anastasios Kesidis
      Pages 335-346
  8. Fuzzy - Vulnerability - Navigation Modeling

    1. Front Matter
      Pages 347-347
    2. Jaziar Radianti, Ioannis Dokas, Kees Boersma, Nadia Saad Noori, Nabil Belbachir, Stefan Stieglitz
      Pages 368-376
  9. Machine Learning Modeling - Optimization

    1. Front Matter
      Pages 377-377
    2. Iakov Karandashev, Boris Kryzhanovsky
      Pages 391-398
    3. Yograj S. Mandloi, Yoshinobu Inada
      Pages 424-431
  10. ML - DL Financial Modeling

    1. Front Matter
      Pages 433-433
    2. Stamatios-Aggelos N. Alexandropoulos, Christos K. Aridas, Sotiris B. Kotsiantis, Michael N. Vrahatis
      Pages 435-444
  11. Security - Anomaly Detection

    1. Front Matter
      Pages 461-461

About these proceedings


This book constitutes the refereed proceedings of the 19th International Conference on Engineering Applications of Neural Networks, EANN 2019, held in  Xersonisos, Crete, Greece, in May 2019.

The 35 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on AI in energy management - industrial applications; biomedical - bioinformatics modeling; classification - learning; deep learning; deep learning - convolutional ANN; fuzzy - vulnerability - navigation modeling; machine learning modeling - optimization; ML - DL financial modeling; security - anomaly detection; 1st PEINT workshop.


artificial intelligence artificial neural network genetic algorithms image coding image processing image reconstruction learning algorithms neural networks sensors signal processing Support Vector Machines (SVM) wireless sensor networks

Editors and affiliations

  1. 1.David Goldman Informatics CentreUniversity of SunderlandSunderlandUK
  2. 2.Democritus University of ThraceXanthiGreece
  3. 3.University of PiraeusPiraeusGreece
  4. 4.Oxford Brookes UniversityOxfordUK

Bibliographic information

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