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Applied Computer Sciences in Engineering

11th Workshop on Engineering Applications, WEA 2024, Barranquilla, Colombia, October 23–25, 2024, Proceedings, Part I

  • Conference proceedings
  • © 2025

Overview

Editors:
  1. Juan Carlos Figueroa-García

    1. Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

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  2. German Hernández

    1. National University of Colombia, Bogotá, Colombia

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  3. Diego Fernando Suero Pérez

    1. Universidad Libre, Bogotá, Colombia

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  4. Elvis Eduardo Gaona García

    1. Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 2222)

Included in the following conference series:

Conference proceedings info: WEA 2024.

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About this book

The two-volume set CCIS 2222 + 2223 constitutes the proceedings of the 11th Workshop on Engineering Applications, WEA 2024, which took place in Barranquilla, Colombia, during October 23–25, 2024.

The 42 full papers presented here were carefully reviewed and selected from 97 submissions. The papers are organized in the following topical sections:

Part I - Artificial Intelligence.

Part II - Optimization; Simulation; Applications.

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Keywords

Table of contents (21 papers)

  1. Front Matter

    Pages i-xvii
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  2. Artificial Intelligence

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Zero-Shot Spam Email Classification Using Pre-trained Large Language Models

      • Sergio Rojas-Galeano
      Pages 3-18

    3. Automatic Recognition System for Public Transport Robberies Based on Deep Learning

      • Laura Jalili, Josué Espejel-Cabrera, José Sergio Ruiz-Castilla, Jair Cervantes
      Pages 19-30

    4. Reinforcement Learning Model Applied in a Pair Trading Strategy

      • Cristian Quintero, Diego Leon, Javier Sandoval, German Hernandez
      Pages 31-42

    5. Neural Networks Informed by Physics Applied to Solving an Optimal Investment-Consumption Problem

      • John Freddy Moreno Trujillo
      Pages 43-48

    6. Deep Learning-Based Object Detection of Relevant Morphological Traits for Enhancing Automatic Classification of Freshwater Macroinvertebrates

      • Lilian Dayana Cruz-Cruz, Diego M. Lopez, Rubiel Vargas-Canas
      Pages 49-60

    7. Deep Tracking Portfolios Using Autoencoders and Variational Autoencoders

      • Daniel Aragón Urrego, Oscar Eduardo Reyes Nieto, Carlos Andrés Zapata Quimbayo
      Pages 61-70

    8. On the Use of a Foundation Acoustic Model to Identify Highly Relevant Phonetic Information of Parkinson’s Speech

      • D. Escobar-Grisales, C. D. Ríos-Urrego, J. R. Orozco-Arroyave
      Pages 71-81

    9. Improvement in the Management of Potable Water Distribution Using Data Science for the Detection and Correction of Errors in Operational Measurement Systems

      • Rafael Rincon Villamizar, J. L. Villa
      Pages 82-91

    10. Wrist Motion Pattern Recognition from EMG Signal Processing Using Machine Learning and Neural Networks

      • Malorys M. Elles Fang, Rita Q. Fuentes-Aguilar, Y. Yuliana Rios, Duván A. Marrugo-Tobón, Sonia H. Contreras-Ortiz
      Pages 92-102

    11. Skin Disease Pre-diagnosis with Novel Visual Transformers

      • Erick García Espinosa, José-Sergio Ruiz Castilla, Farid García Lamont
      Pages 103-113

    12. Enhancing the Diagnostic Accuracy of Diabetes and Prediabetes with Neural Network-Based Area Under the Curve Analysis of OGTT Data

      • Erika Severeyn, Alexandra La Cruz, Mónica Huerta, Jesús Velásquez
      Pages 114-124

    13. Improving Energy Management in Artificial Pancreas Using an Event-Trigger MPC Strategy

      • Jhon E. Goez-Mora, Pablo S. Rivadeneira
      Pages 125-137

    14. Advancements in AI-Driven Emotion Recognition: A Study on CNN and DMD Methodologies

      • Oscar Loyola, Diana Suarez, Griselle Salazar
      Pages 138-150

    15. Control of a Buck Converter Using Artificial Neural Network NARMA-L2 Controller

      • Angel Quiroga, Jhon Bayona, Helbert Espitia
      Pages 151-163

    16. Design of a Crime Prediction Model for Barranquilla Using Machine Learning Algorithms

      • Rodríguez Morales Jeison Estiven, Estupiñan Gomez John Fredy, Carreño Hernandez Pablo Enrique, Simanca Herrera Fredys Alberto, Insignares Conde William Ricardo, Caballero Emeldo
      Pages 164-174

    17. A Smart Mobile Mapping Application for the Evaluation of Road Infrastructure in Urban and Rural Corridors

      • Diego Espinel-Gomez, Wilmar Fernandez-Gomez, Julian Moreno-Moreno, Daniel Carranza-Leguizamo, Camilo Marrugo
      Pages 175-185

    18. Analysis of Variables Related to Criminal Violence and Public Insecurity in the City of Barranquilla, Colombia, Using Crispy Methodology and Python Programming Language

      • C. William R. Insignares, B. Emeldo Caballero, I. Leidy M. Mora, H. Pablo E. Carreño, Aldo Silvera
      Pages 186-197

    19. Comparison of Motor Imagery and Motor Execution Networks Using the Phase Lag Index

      • Mateo Alzate-Márquez, Andrés Quintero-Zea
      Pages 198-207
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Other volumes

  1. Applied Computer Sciences in Engineering

  2. Applied Computer Sciences in Engineering

Editors and Affiliations

  • Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Juan Carlos Figueroa-García, Elvis Eduardo Gaona García

  • National University of Colombia, Bogotá, Colombia

    German Hernández

  • Universidad Libre, Bogotá, Colombia

    Diego Fernando Suero Pérez

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