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17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022)

Salamanca, Spain, September 5–7, 2022, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Pablo García Bringas

    1. Faculty of Engineering, University of Deusto, Bilbao, Spain

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  2. Hilde Pérez García

    1. University of León, León, Spain

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  3. Francisco Javier Martinez-de-Pison

    1. Mechanical Engineering Department, University of La Rioja, Logroño, Spain

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  4. José Ramón Villar Flecha

    1. Inteligencia Artificial, University of Oviedo, A Coruña, Spain

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  5. Alicia Troncoso Lora

    1. Data Science and Big Data Lab, Pablo de Olavide University, Sevilla, Spain

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  6. Enrique A. de la Cal

    1. University of Oviedo, Oviedo, Spain

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  7. Álvaro Herrero

    1. Department of Civil Engineering, University of Burgos, Burgos, Spain

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  8. Francisco Martínez Álvarez

    1. School of engineering, Pablo Olavide University, Seville, Spain

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  9. Giuseppe Psaila

    1. DIGIP, University of Bergamo, Dalmine, Italy

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  10. Héctor Quintián

    1. Department of Industrial Engineering, University of A Coruña, Ferrol, Spain

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  11. Emilio S. Corchado Rodriguez

    1. Department of Computing Science, University of Salamanca, Salamanca, Spain

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  • Presents the latest research on Computational Intelligence in Security for Information Systems
  • Includes recent research on European transnational education
  • Features new applications of computational intelligence and soft computing

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 531)

Included in the following conference series:

Conference proceedings info: SOCO 2022.

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Table of contents (64 papers)

  1. Front Matter

    Pages i-xxi
    Download chapter PDF

  2. Decision Support and Deep Learning

    1. Front Matter

      Pages 1-1
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    2. Anomaly Detection of Security Threats to Cyber-Physical Systems: A Study

      • Nicholas Jeffrey, Qing Tan, José R. Villar
      Pages 3-12

    3. Predictive Maintenance for Maintenance-Effective Manufacturing Using Machine Learning Approaches

      • Bruno Mota, Pedro Faria, Carlos Ramos
      Pages 13-22

    4. Estimation of Lamb Weight Using Transfer Learning and Regression

      • Virginia Riego del Castillo, Lidia Sánchez-González, Laura Fernández-Robles, Manuel Castejón-Limas, Rubén Rebollar
      Pages 23-30

    5. UAV Simulation for Object Detection and 3D Reconstruction Fusing 2D LiDAR and Camera

      • Daniel Amigo, Jesús García, José M. Molina, Jorge Lizcano
      Pages 31-40

    6. A SO2 Pollution Concentrations Prediction Approach Using Autoencoders

      • M. I. Rodríguez-García, J. González-Enrique, J. J. Ruiz-Aguilar, I. J. Turias
      Pages 41-50

    7. CPU Computation Influence on Energy Consumption Forecasting Activities of a Building

      • Daniel Ramos, Pedro Faria, Luis Gomes, Zita Vale
      Pages 51-61

    8. Python-Based Ecosystem for Agent Communities Simulation

      • Bruno Ribeiro, Helder Pereira, Luis Gomes, Zita Vale
      Pages 62-71

    9. Deep Learning Approach for the Prediction of the Concentration of Chlorophyll ɑ in Seawater. A Case Study in El Mar Menor (Spain)

      • Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Eduardo Madrid Navarro, Rosa Martínez Álvarez-Castellanos, Ivan Felis Enguix, José M. Jerez et al.
      Pages 72-85

  3. Evolutionary Computing

    1. Front Matter

      Pages 87-87
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    2. A Hybrid Discrete Symbiotic Organisms Search Algorithm and List-Based Simulated Annealing Algorithm for Traveling Salesman Problem

      • Vladimir Ilin, Dragan Simić, Marko Veličković, Nemanja Garunović
      Pages 89-97

    3. Estimation of Distribution Algorithms Applied to the Next Release Problem

      • Víctor Pérez-Piqueras, Pablo Bermejo López, José A. Gámez
      Pages 98-108

    4. An Extremal Optimization Approach to the Pairwise Connectivity Critical Node Detection Problem

      • Noémi Gaskó, Tamás Képes, Mihai Suciu, Rodica Ioana Lung
      Pages 109-118

  4. Neural Networks and Data Mining

    1. Front Matter

      Pages 119-119
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    2. Dimensional Reduction Applied to an Intelligent Model for Boost Converter Switching Operation

      • Luis-Alfonso Fernandez-Serantes, José-Luis Casteleiro-Roca, Paulo Novais, Dragan Simić, José Luis Calvo-Rolle
      Pages 121-133

    3. Intuitionistic Fuzzy Sets in J-CO-QL\(^+\)?

      • Paolo Fosci, Giuseppe Psaila
      Pages 134-145

    4. Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification

      • Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro A. Gutiérrez, César Hervás-Martínez
      Pages 146-155

    5. Blockchain for Supply Chain Traceability with Data Validation

      • Cristian Valencia-Payan, David Griol, Juan Carlos Corrales
      Pages 156-165

    6. Compression of Clustered Ship Trajectories for Context Learning and Anomaly Detection

      • David Sánchez Pedroche, Jesús García, José Manuel Molina
      Pages 166-175
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  1. 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022)

Keywords

About this book

This book contains accepted papers presented at SOCO 2022 conference held in the beautiful and historic city of Salamanca (Spain), in September 2022.

Soft computing represents a collection or set of computational techniques in machine learning, computer science, and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena.

After a thorough peer-review process, the 17th SOCO 2022 International Program Committee selected 64 papers which are published in these conference proceedings and represent an acceptance rate of 60%. In this relevant edition, a particular emphasis was put on the organization of special sessions. Seven special sessions were organized related to relevant topics such as machine learning and computer vision in Industry 4.0; time series forecasting in industrial and environmental applications; optimization, modeling, and control by soft computing techniques; soft computing applied to renewable energy systems; preprocessing big data in machine learning; tackling real-world problems with artificial intelligence.

The selection of papers was extremely rigorous to maintain the high quality of the conference. We want to thank the members of the program committees for their hard work during the reviewing process. This is a crucial process for creating a high-standard conference; the SOCO conference would not exist without their help.

Editors and Affiliations

  • Faculty of Engineering, University of Deusto, Bilbao, Spain

    Pablo García Bringas

  • University of León, León, Spain

    Hilde Pérez García

  • Mechanical Engineering Department, University of La Rioja, Logroño, Spain

    Francisco Javier Martinez-de-Pison

  • Inteligencia Artificial, University of Oviedo, A Coruña, Spain

    José Ramón Villar Flecha

  • Data Science and Big Data Lab, Pablo de Olavide University, Sevilla, Spain

    Alicia Troncoso Lora

  • University of Oviedo, Oviedo, Spain

    Enrique A. de la Cal

  • Department of Civil Engineering, University of Burgos, Burgos, Spain

    Álvaro Herrero

  • School of engineering, Pablo Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  • DIGIP, University of Bergamo, Dalmine, Italy

    Giuseppe Psaila

  • Department of Industrial Engineering, University of A Coruña, Ferrol, Spain

    Héctor Quintián

  • Department of Computing Science, University of Salamanca, Salamanca, Spain

    Emilio S. Corchado Rodriguez

Bibliographic Information

  • Book Title: 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022)

  • Book Subtitle: Salamanca, Spain, September 5–7, 2022, Proceedings

  • Editors: Pablo García Bringas, Hilde Pérez García, Francisco Javier Martinez-de-Pison, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez Álvarez, Giuseppe Psaila, Héctor Quintián, … Emilio S. Corchado Rodriguez

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-031-18050-7

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023

  • Softcover ISBN: 978-3-031-18049-1Published: 12 October 2022

  • eBook ISBN: 978-3-031-18050-7Published: 11 October 2022

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XXI, 669

  • Number of Illustrations: 45 b/w illustrations, 208 illustrations in colour

  • Topics: Computational Intelligence, Industrial and Production Engineering

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