Información General

• Autores: Héctor Quintián Pardo (coord.), Emilio Santiago Corchado Rodríguez (coord.), Alicia Troncoso Lora (coord.), Hilde Pérez García (coord.), Esteban Jove Pérez (coord.), José Luis Calvo-Rolle (coord.), Francisco Javier Martínez de Pisón Ascacíbar (coord.), Pablo García Bringas (coord.), Francisco Martínez Álvarez (coord.)
• Editores: Springer International Publishing AG
• Año de publicación: 2025
• País: Suiza
• Idioma: inglés
• ISBN: 9783031750090
• Texto completo no disponible (Saber más ...)

Resumen

• This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at the SOCO 2024 conference held in the beautiful and historic city of Salamanca (Spain) in October 2024.

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

  After a thorough peer-review process, the 18th SOCO 2023 International Program Committee selected 62 papers for publication in these conference proceedings, representing an acceptance rate of 50%. In this relevant edition, a particular emphasis was put on organizing special sessions. Four special sessions were organized related to relevant topics such as Machine Learning and Computer Vision in Industry 4.0, Intelligent Models and Frameworks for Smart Agriculture and Green Economy, Computational Intelligence Applied to Modelling and Control of Engineering Systems, and Applied Machine Learning (2nd Edition).

  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.

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Listado de artículos

• • Special Session: Machine learning and computer vision in industry 4.0

    • Computer vision based quality control for molding injection machines

      Ramón Moreno Jiménez, Oscar García, Miguel del Río Cristobal, Revanth Shankar Muthuselvam, José María Sanjuan, Andrés Vallejo, Ting Wang

      págs. 3-11

      

    • Towards a comprehensive taxonomy of cobots: A tool for multi-criteria classification

      Michael Fernández Vega, David Alfaro Víquez, Mauricio Andrés Zamora Hernández, Jose Garcia Rodriguez, Jorge Azorín López

      págs. 12-21

      

    • Novel positional enconding methods for neural rendering

      Daniel Molina, Jorge García González, J. Enrique Domínguez Muñoz, Ezequiel López Rubio

      págs. 22-31

      

    • Enhancing object segmentation via Few-Shot learning with limited annotated data

      Iván García Aguilar, Syed Ali Haider Jafri, David Elizondo, Saul Calderón, Sarah Greenfield, Rafael M. Luque Baena

      págs. 32-41

      

    • Early breast cancer detection by automated analysis of mammograms with deep convolutional networks

      Guillermo Tell González, Ezequiel López Rubio, Rafaela Benitez Rochel, Miguel A. Molina Cabello

      págs. 42-51

      

    • Feature selection for multi-label classification in predictive maintenance

      Antoine Hubermont, Aymeric Vellinger, Nemanja Antonic, Elio Tuci

      págs. 52-61

      

    • Transforming manufacturing through human digital twins: A new architectural approach

      David Alfaro Víquez, Mauricio Andrés Zamora Hernández, Alejandro Fernández Vega, Jose Garcia Rodriguez, Jordi Azorín

      págs. 62-71

      

    • From medical consultation to diagnosis generation using deep learning

      David Ortiz Pérez, Alejandro Merino Balaguer, Javier Rodríguez, Jose Garcia Rodriguez, David Tomás, Grzegorz J. Nalepa

      págs. 72-81

      

    • Advancing brick detection from lab to industry: A machine vision approach for robotic applications

      Dominik Štursa, Petr Doležel, Bruno Zanon

      págs. 82-92

      

    • Computer-vision-based industrial algorithm for detecting fruit and vegetable dimensions and positioning

      César Guevara Bravo, Jules Rostand, Javier Rodríguez Pinto, Silvia González, Javier Sedano

      págs. 93-106

      

  • Special Session: Intelligent models and frameworks for smart agriculture and green economy

    • A comparative study of machine learning models for plant disease identification

      Macelaru Mara, Petrică Pop, José Barata

      págs. 107-116

      

    • Using Markov Chains for determining the proximity contagion of smart specialization of localities

      Oliviu Matei, Laura Andreina Matos Marquez, Ioan Alin Danci, Anca Avram, Bogdan Vaduva

      págs. 117-126

      

    • A comparative study of different genetic algorithms approaches to capacitated vehicle routing problem for collection of agricultural products

      Cosmin Sabo, Natanael Balogh, Petrică Pop, Adrian Petrovan

      págs. 127-136

      

    • Using machine learning for identifying the intrinsic economic specializations of localities

      Oliviu Matei, Laura Andreina Matos Marquez, Joan Aliu, Anca Avram, Faragau Tudor

      págs. 137-146

      

    • Fraudulent transactions identification using a machine learning approach

      Silvia Vázquez Noguera, Miguel García Torres, Sebastian Grillo, Francisco Gómez Vela, Katherin Andrea Arrúa Jacquet, Ricardo Palma, Lorena Andrea Bearzotti

      págs. 147-156

      

    • Aggregation strategy for federated machine learning algorithm

      Rudolf Erdei, Daniela Delinschi, Iulia Baraian, Oliviu Matei

      págs. 157-167

      

    • Embedding GIS in crop field bonitation computation

      Bogdan Vaduva, Oliviu Matei, Anca Avram

      págs. 168-177

      

    • Advancements in machine learning algoritms for precision crop yield prediction: A comprehensive review whith focus on European Union

      Carmen Anton, Anca Avram, Oliviu Matei, Laura Andreina Matos Marquez, Bogdan Vaduva

      págs. 178-187

      

    • TPC_Net: An efficiente CNN architecture for tomato plant disease and pest classification

      Ovidiu Cosma, Laura Cosma

      págs. 188-198

      

    • Data quality assessment methodology

      Daniela Delinschi, Rudolf Erdei, Emil Marian Pasca, Oliviu Matei

      págs. 199-209

      

    • Privacy Assesment Methodology for machine learning models and data sources

      Rudolf Erdei, Emil Pascal, Daniela Delinschi, Anca Avram, Ionela Chereja, Oliviu Matei

      págs. 210-220

      

    • Forest fire risk prediction using machine learning

      Arsenio Reis, Antonio Pereira, João Barroso

      págs. 221-230

      

    • Enhancing API Security Testing Against BOLA and authentication vulnerabilities through an LLM-Enhanced Framework

      Emil Marian Pasca, Rudolf Erdei, Daniela Delinschi, Oliviu Matei

      págs. 231-240

      

    • A new vision of social behavior on genetic algoritm performance

      Andrea Tatar, Nicolas Dufour-Fatisson, Adrian Petrovan, Oliviu Matei

      págs. 241-252

      

  • Special Session: Computational intelligence aoolied to modelling and control of engineering systems

    • A classification-based algorithm to characterize euthymia data in mental health

      Victoria López, Pavél Llamocca Portella, Alberto Mérida Nicolich

      págs. 253-260

      

    • First Approach of an electromechanical fuzzy logic controller for MPPT wind turbine control

      Eduardo Muñoz Palomeque, Jesús Enrique Sierra García, Matilde Santos Peñas

      págs. 261-269

      

    • Affordable wind power forecasting: Implementing LSTM Networks on low-cost hardware platforms for enhanced energy management

      Mario Peñacoba Yagüe, Pablo Andrés Buestán Andrade, Jesús Enrique Sierra García, Matilde Santos Peñas, Antonio Ruano González

      págs. 270-278

      

    • Autoencoder neural networks for anomaly detection in wind turbines

      César Augusto Guevara Lastre, Matilde Santos Peñas

      págs. 279-292

      

  • Special Session: Applied machine learning (2nd Edition)

    • Featurare importance analysis of meteorological weather for mini eolic electrical power prediction using clustering information

      Maite García-Ordás, Paula Arcano Bea, Manuel Rubiños Trelles, Esteban Jove Pérez, Diego Narciandi Rodríguez, Héctor Alaiz Moretón

      págs. 293-303

      

    • Weighted feature ranking merging for supervised machine learning

      Jessica Coto Palacio, Daniel Alejandro Ortiz Tandazo, Jenny Alexandra Bautista, Agustina Grangetto, Kelsy Cabello Solorzano, Diana León Castro, Paola Santana Morales, Antonio Javier Tallón Ballesteros

      págs. 304-311

      

    • A hybrid intelligence model forecasts the SOC of electric Vehicle´s battery

      Manuel Rubiños Trelles, Paula Arcano Bea, Míriam Timiraos Díaz, Álvaro Michelena Grandío, Rafael Suárez Vega, José Manuel Andújar Peral, José-Luis Casteleiro-Roca

      págs. 312-322