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Engineering Applications of Neural Networks

24th International Conference, EAAAI/EANN 2023, León, Spain, June 14–17, 2023, Proceedings

  • Conference proceedings
  • © 2023

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Editors:
  1. Lazaros Iliadis

    1. Democritus University of Thrace, Xanthi, Greece

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  2. Ilias Maglogiannis

    1. University of Piraeus, Piraeus, Greece

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  3. Serafin Alonso

    1. University of Leon, León, Spain

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  4. Chrisina Jayne

    1. Teesside University, Middlesbrough, UK

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  5. Elias Pimenidis

    1. University of the West of England, Bristol, UK

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1826)

Included in the following conference series:

Conference proceedings info: EANN 2023.

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Table of contents (49 papers)

  1. Front Matter

    Pages i-xxxii
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  2. Artificial Intelligence - Computational Methods - Ethology

    1. Front Matter

      Pages 1-1
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    2. A Machine Learning Approach for Seismic Vulnerability Ranking

      • Ioannis Karampinis, Lazaros Iliadis
      Pages 3-16

    3. Computational Ethology: Short Review of Current Sensors and Artificial Intelligence Based Methods

      • Marina Aguilar-Moreno, Manuel Graña
      Pages 17-27

    4. Toward an Epidermal Patch for Voice Prosthesis and Diseases Prediction by a Fuzzy-Neuro Paradigm

      • Mario Malcangi, Giovanni Felisati, Alberto Saibene, Enrico Alfonsi, Mauro Fresia, Pasquale Cambiaghi
      Pages 28-32

    5. Towards Improved User Experience for Artificial Intelligence Systems

      • Lisa Brand, Bernhard G. Humm, Andrea Krajewski, Alexander Zender
      Pages 33-44

  3. Classification - Filtering - Genetic Algorithms

    1. Front Matter

      Pages 45-45
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    2. A Critical Analysis of Classifier Selection in Learned Bloom Filters: The Essentials

      • Dario Malchiodi, Davide Raimondi, Giacomo Fumagalli, Raffaele Giancarlo, Marco Frasca
      Pages 47-61

    3. Balancing High-Dimensional Datasets with Complex Layers

      • Leon Bobrowski
      Pages 62-70

    4. BotDroid: Permission-Based Android Botnet Detection Using Neural Networks

      • Saeed Seraj, Elias Pimenidis, Michalis Pavlidis, Stelios Kapetanakis, Marcello Trovati, Nikolaos Polatidis
      Pages 71-84

    5. Classification of Time Signals Using Machine Learning Techniques

      • Ishfaq Ahmad Jadoon, Doina Logofătu, Mohammad Nahin Islam
      Pages 85-96

    6. Conductivity Classification Using Machine Learning Algorithms in the “Bramianon” Dam

      • Kiourt Nichat, Lazaros Iliadis, Antonios Papaleonidas
      Pages 97-109

    7. Generation of Bases for Classification in the Bio-inspired Layered Networks

      • Naohiro Ishii, Kazunori Iwata, Tokuro Matsuo
      Pages 110-120

    8. Load-Shedding Management in a Smart Grid Architecture Through Smart Metering

      • Muhammad Faizan Khan, Gul Muhammad Khan
      Pages 121-130

    9. MiniAnDE: A Reduced AnDE Ensemble to Deal with Microarray Data

      • Pablo Torrijos, José A. Gámez, José M. Puerta
      Pages 131-143

    10. Multi-view Semi-supervised Learning Using Privileged Information

      • Evgueni Smirnov, Richard Delava, Ron Diris, Nikolay Nikolaev
      Pages 144-152

  4. Complex Dynamic Networks’ Optimization/Graph Neural Networks

    1. Front Matter

      Pages 153-153
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    2. A Multi-relationship Language Acquisition Model for Predicting Child Vocabulary Growth

      • Andrew Roxburgh, Floriana Grasso, Terry R. Payne
      Pages 155-167

    3. Knowledge Graph of Urban Firefighting with Rule-Based Entity Extraction

      • Xudong Wang, Slam Nady, Zixiang Zhang, Mingtong Zhang, Jingrong Wang
      Pages 168-177

    4. Optimal Traffic Flow Distributions on Dynamic Networks

      • Armen Bagdasaryan, Antonios Kalampakas, Mansoor Saburov, Stefanos Spartalis
      Pages 178-190
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About this book

This book constitutes the refereed proceedings of the 24th International Conference on Engineering Applications of Neural Networks, EANN 2023, held in León, Spain, in June 2023.

The 41 revised full papers and 8 revised short papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on ​artificial intelligence - computational methods - ethology; classification - filtering  - genetic algorithms; complex dynamic networks' optimization/ graph neural networks; convolutional neural networks/spiking neural networks; deep learning modeling; deep/machine learning  in engineering; LEARNING (reinforcemet - federated - adversarial - transfer); natural language  - recommendation systems.

Editors and Affiliations

  • Democritus University of Thrace, Xanthi, Greece

    Lazaros Iliadis

  • University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

  • University of Leon, León, Spain

    Serafin Alonso

  • Teesside University, Middlesbrough, UK

    Chrisina Jayne

  • University of the West of England, Bristol, UK

    Elias Pimenidis

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