Progress in Artificial Intelligence: 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part III | SpringerLink
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Progress in Artificial Intelligence

23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part III

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Manuel Filipe Santos

    1. University of Minho, Braga, Portugal

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  2. José Machado

    1. University of Minho, Braga, Portugal

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  3. Paulo Novais

    1. University of Minho, Braga, Portugal

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  4. Paulo Cortez

    1. University of Minho, Braga, Portugal

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  5. Pedro Miguel Moreira

    1. Polytechnic Institute of Viana do Castelo, Viana do Castelo, Portugal

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14969)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: EPIA 2024.

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About this book

The 3-volume set LNAI 14967, 14968, and 14969 constitutes the proceedings of the 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, held in Viana do Castelo, Portugal, during September 3–6, 2024.

The 94 full papers presented in these proceedings were carefully reviewed and selected from 187 submissions. The papers are organized in the following topical sections:

Volume I:

AI and Creativity (AIC); Ambient Intelligence and Affective Environments (AmIA); Artificial Intelligence and IoT in Agriculture (AIoTA); Artificial Intelligence and Law (AIL); and Artificial Intelligence for Industry and Societies (AI4IS). 

Volume II:

Artificial Intelligence in Medicine (AIM); Artificial Intelligence in Power and Energy Systems (AIPES); Artificial Intelligence in Transportation Systems (AITS); Ethics and Responsibility in AI (ERAI); and General AI (GAI).

Volume III:

Generative AI – Foundations and Applications (GenAI); Intelligent Robotics (IROBOT); Knowledge Discovery and Business Intelligence (KDBI); Natural Language Processing, Text Mining and Applications (TeMA); and Data-Centric AI – Solutions and Emerging Technologies (DCenAI).

Keywords

Table of contents (29 papers)

  1. Front Matter

    Pages i-xxvi
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  2. Generative AI – Foundations and Applications (GenAI)

    1. Front Matter

      Pages 1-1
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    2. Large Language Model for Querying Databases in Portuguese

      • Lourenço Figueiredo, Paulo Pinheiro, Luís Cavique, Nuno Marques
      Pages 3-14

    3. A Novel Integration of Federated Learning and LSTM for Synthetic Time Series Generation

      • Gurjot Singh, Pritika Sharma, Jatin Bedi
      Pages 15-26

    4. Assessment on the Effectiveness of GitHub Copilot as a Code Assistance Tool: An Empirical Study

      • Carlos Adriano Gonçalves, Célia Talma Gonçalves
      Pages 27-38

    5. AICIS: A System for Identifying AI Contribution in Textual Content

      • Ahmad Hashemi, Wei Shi
      Pages 39-50

  3. Intelligent Robotics (IROBOT)

    1. Front Matter

      Pages 51-51
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    2. AIMSM - A Mechanism to Optimize Systems with Multiple AI Models: A Case Study in Computer Vision for Autonomous Mobile Robots

      • Bruno Georgevich Ferreira, Armando Jorge Sousa, Luis Paulo Reis, António Augusto de Sousa, Rui Rodrigues, Rosaldo Rossetti
      Pages 53-64

    3. Defect Detection in the Painting of Combustion Device Covers Using the Deflectometry Method and YOLOv8

      • João Silva, Rodrigo Rito, António Completo, Ângela Semitela, Luís Rino, Paulo Antunes et al.
      Pages 65-77

    4. Information-Oriented and Energy-Aware Path Planning for Small Unmanned Aerial Vehicles

      • José Bento, Meysam Basiri, Rodrigo Ventura
      Pages 78-89

    5. Pollinationbots - A Swarm Robotic System for Tree Pollination

      • João Tomás Castro, Isabel Pinheiro, Miguel Nakajima Marques, Pedro Moura, Filipe Neves dos Santos
      Pages 90-101

  4. Knowledge Discovery and Business Intelligence (KDBI)

    1. Front Matter

      Pages 103-103
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    2. Extensible Data Ingestion System for Industry 4.0

      • Bruno Oliveira, Óscar Oliveira, Teresa Peixoto, Fillipe Ribeiro, Carla Pereira
      Pages 105-114

    3. Next Location Prediction with Time-Evolving Markov Models over Data Streams

      • Thiago Andrade, João Gama
      Pages 115-126

    4. Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks Through Bayesian Optimization

      • Dylan Perdigão, Francisco Antunes, Catarina Silva, Bernardete Ribeiro
      Pages 127-138

    5. A Benchmark of Automated Multivariate Time Series Forecasting Tools for Smart Cities

      • Pedro José Pereira, Nuno Costa, Pedro Mestre, Paulo Cortez
      Pages 139-150

    6. A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models

      • Hélder Teixeira, Arthur Matta, André Pilastri, Luís Ferreira, Pedro Pereira, Carlos Gonçalves et al.
      Pages 151-162

    7. Optimising Dialogue Flow Discovery

      • David Ressurreição, Patrícia Ferreira, Ana Alves, Hugo Gonçalo Oliveira
      Pages 163-175

    8. BI-Enabled Web Visualization of In-Place Inclinometer Data for Geotechnical Applications

      • João Palma, Nuno Marques, Ricardo Santos
      Pages 176-187

    9. An Empirical Evaluation of DeepAR for Univariate Time Series Forecasting

      • Ricardo Urjais Gomes, Carlos Soares, Luis Paulo Reis
      Pages 188-199
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Other volumes

  1. Progress in Artificial Intelligence

  2. Progress in Artificial Intelligence

  3. Progress in Artificial Intelligence

Editors and Affiliations

  • University of Minho, Braga, Portugal

    Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez

  • Polytechnic Institute of Viana do Castelo, Viana do Castelo, Portugal

    Pedro Miguel Moreira

Bibliographic Information

  • Book Title: Progress in Artificial Intelligence

  • Book Subtitle: 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part III

  • Editors: Manuel Filipe Santos, José Machado, Paulo Novais, Paulo Cortez, Pedro Miguel Moreira

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-73503-5

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025

  • Softcover ISBN: 978-3-031-73502-8Published: 16 November 2024

  • eBook ISBN: 978-3-031-73503-5Published: 15 November 2024

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XXVI, 376

  • Number of Illustrations: 18 b/w illustrations, 84 illustrations in colour

  • Topics: Artificial Intelligence, Computer Communication Networks, Computer Applications, Natural Language Processing (NLP)

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