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Engineering Applications of Neural Networks

25th International Conference, EANN 2024, Corfu, Greece, June 27–30, 2024, Proceedings

  • Conference proceedings
  • © 2024

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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. Antonios Papaleonidas

    1. Democritus University of Thrace, Xanthi, Greece

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  4. Elias Pimenidis

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

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  5. Chrisina Jayne

    1. Teesside University, Middlesbrough, UK

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 2141)

Included in the following conference series:

Conference proceedings info: EANN 2024.

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About this book

This book constitutes the refereed proceedings of the 25th International Conference on Engineering Applications of Neural Networks, EANN 2024, held in Corfu, Greece, during June 27-30, 2024. 

The 41 full and 2 short papers included in this book were carefully reviewed and selected from 85 submissions. They deal with reinforcement; natural language; biomedical applications; classificaiton; deep learning; convolutional neural networks. 

Keywords

Table of contents (43 papers)

  1. Front Matter

    Pages i-xxvii
    Download chapter PDF

  2. Reinforcement/Natural Language

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Active Learning with Aggregated Uncertainties from Image Augmentations

      • Tamás Janusko, Colin Simon, Kevin Kirsten, Serhiy Bolkun, Eric Weinzierl, Julius Gonsior et al.
      Pages 3-16

    3. An Approach to Predict Optimal Configurations for LDA-Based Topic Modeling

      • Mou Saha, Doina Logofătu
      Pages 17-27

    4. An Autoencoder-Based Approach for Anomaly Detection of Machining Processes Using Acoustic Emission Signals

      • Antonio Nappa, Juan Luis Ferrando Chacón, Izar Azpiroz, Pedro José Arrazola
      Pages 28-40

    5. An EANN-Based Recommender System for Drug Recommendation

      • Hadi Al Mubasher, Mariette Awad
      Pages 41-55

    6. Automation of the Error-Prone Pam-4 Sequence Discovery for the Purpose of High-Speed Serial Receiver Testing Using Reinforcement Learning Methods

      • Manav Madan, Christoph Reich, Anton Unakafov, Valentina Unakafova, Alexander Schmitt
      Pages 56-69

    7. Binary Black Hole Parameter Estimation from Gravitational Waves with Deep Learning Methods

      • Panagiotis N. Sakellariou, Spiros V. Georgakopoulos
      Pages 70-81

    8. Comparative Analysis of Large Language Models in Structured Information Extraction from Job Postings

      • Kyriaki Sioziou, Panagiotis Zervas, Kostas Giotopoulos, Giannis Tzimas
      Pages 82-92

    9. Comparative Study Between Q-NAS and Traditional CNNs for Brain Tumor Classification

      • Fabio Cardoso, Marley Vellasco, Karla Figueiredo
      Pages 93-105

    10. Deep Echo State Networks for Modelling of Industrial Systems

      • José Ramón Rodríguez-Ossorio, Claudio Gallicchio, Antonio Morán, Ignacio Díaz, Juan J. Fuertes, Manuel Domínguez
      Pages 106-119

    11. Empirical Insights into Deep Learning Models for Misinformation Classification Within Constrained Data Environment

      • Jayendra Ganesh Devisetti, S. Sanjana, Shubhankar Kuranagatti, Abhishek Hiremath, Arti Arya
      Pages 120-133

    12. Enhancing Bandwidth Efficiency for Video Motion Transfer Applications Using Deep Learning Based Keypoint Prediction

      • Xue Bai, Tasmiah Haque, Sumit Mohan, Yuliang Cai, Byungheon Jeong, Ádám Halász et al.
      Pages 134-151

    13. Enhancing Natural Language Query to SQL Query Generation Through Classification-Based Table Selection

      • Ankush Chopra, Rauful Azam
      Pages 152-165

    14. Exploiting LMM-Based Knowledge for Image Classification Tasks

      • Maria Tzelepi, Vasileios Mezaris
      Pages 166-177

    15. HEADS: Hybrid Ensemble Anomaly Detection System for Internet-of-Things Networks

      • Zeeshan Ahmad, Andrei Petrovski, Murshedul Arifeen, Adnan Shahid Khan, Syed Aziz Shah
      Pages 178-190

    16. HEDL-IDS2: An Innovative Hybrid Ensemble Deep Learning Prototype for Cyber Intrusion Detection

      • Anastasios Panagiotis Psathas, Lazaros Iliadis, Antonios Papaleonidas, Elias Pimenidis
      Pages 191-206

    17. Intelligent Framework for Monitoring Student Emotions During Online Learning

      • Ayoub Sassi, Safa Chérif, Wael Jaafar
      Pages 207-219

    18. Leveraging Diverse Data Sources for Enhanced Prediction of Severe Weather-Related Disruptions Across Different Time Horizons

      • Hussain Otudi, Shelly Gupta, Zoran Obradovic
      Pages 220-234

    19. Machine Learning-Based Detection and Classification of Neurodevelopmental Disorders from Speech Patterns

      • El Omari Mouad, Belmajdoub Hanae, Minaoui Khalid
      Pages 235-246
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Other volumes

  1. Engineering Applications of Neural Networks

Editors and Affiliations

  • Democritus University of Thrace, Xanthi, Greece

    Lazaros Iliadis, Antonios Papaleonidas

  • University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

  • University of the West of England, Bristol, UK

    Elias Pimenidis

  • Teesside University, Middlesbrough, UK

    Chrisina Jayne

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