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ORCID19th SOCO 2024: Salamanca, Spain
- Héctor Quintián
, Emilio Corchado, Alicia Troncoso Lora, Hilde Pérez García, Esteban Jove, José Luís Calvo-Rolle, Francisco Javier Martínez de Pisón, Pablo García Bringas, Francisco Martínez-Álvarez, Álvaro Herrero Cosío, Paolo Fosci:
The 19th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2024 - Salamanca, Spain, October 9-11, 2024 Proceedings, Volume 2. Lecture Notes in Networks and Systems 889, Springer 2025, ISBN 978-3-031-75009-0
Special Session: Machine Learning and Computer Vision in Industry 4.0
- Ramón Moreno, Oscar García, Miguel Del Río Cristobal, Revanth Shankar Muthuselvam, José María Sanjuán, Andrés Vallejo, Ting Wang:
Computer Vision Based Quality Control for Molding Injection Machines. 3-11 - Michael Fernández Vega, David Alfaro-Viquez, Mauricio-Andrés Zamora-Hernández, José García Rodríguez, Jorge Azorín López:
Towards a Comprehensive Taxonomy of Cobots: A Tool for Multi-criteria Classification. 12-21 - Daniel Molina-Pinel, Jorge García-González, Enrique Domínguez, Ezequiel López-Rubio:
Novel Positional Encoding Methods for Neural Rendering. 22-31 - Iván García Aguilar, Syed Ali Haider Jafri, David A. Elizondo, Saúl Calderón Ramírez, Sarah Greenfield, Rafael M. Luque-Baena:
Enhancing Object Segmentation via Few-Shot Learning with Limited Annotated Data. 32-41 - Guillermo Tell-González, Ezequiel López-Rubio, Rafaela Benítez-Rochel, Miguel A. Molina-Cabello:
Early Breast Cancer Detection by Automated Analysis of Mammograms with Deep Convolutional Networks. 42-51 - Antoine Hubermont, Aymeric Vellinger, Nemanja Antonic, Elio Tuci:
Feature Selection for Multi-label Classification in Predictive Maintenance. 52-61 - David Alfaro-Viquez, Mauricio-Andrés Zamora-Hernández, Michael-Alejandro Fernandez-Vega, José García Rodríguez, Jorge Azorín López:
Transforming Manufacturing Through Human Digital Twins: A New Architectural Approach. 62-71 - David Ortiz-Perez, Alejandro Merino-Balaguer, Javier Rodríguez-Juan, José García Rodríguez, David Tomás, Grzegorz J. Nalepa:
From Medical Consultation to Diagnosis Generation Using Deep Learning. 72-81 - Dominik Stursa, Petr Dolezel, Bruno Baruque Zanon:
Advancing Brick Detection from Lab to Industry: A Machine Vision Approach for Robotic Applications. 82-92 - Cesar Guevara, Julen Rostan, Javier Rodriguez, Silvia González, Javier Sedano:
Computer-Vision-Based Industrial Algorithm for Detecting Fruit and Vegetable Dimensions and Positioning. 93-104
Special Session: Intelligent Models and Frameworks for Smart Agriculture and Green Economy
- Mara Macelaru, Petrica C. Pop, José Barata:
A Comparative Study of Machine Learning Models for Plant Disease Identification. 107-116 - Oliviu Matei, Laura Andreica, Ioan Alin Danci, Anca Avram, Bogdan Vaduva:
Using Markov Chains for Determining the Proximity Contagion of Smart Specialization of Localities. 117-126 - Cosmin Sabo, Natanael Balogh, Petrica C. Pop, Adrian Petrovan:
A Comparative Study of Different Genetic Algorithms Approaches to Capacitated Vehicle Routing Problem for Collection of Agricultural Products. 127-136 - Oliviu Matei, Laura Andreica, Ioan Alin Danci, Anca Avram, Faragau Tudor:
Using Machine Learning for Identifying the Intrinsic Economic Specializations of Localities. 137-146 - Silvia Vázquez-Noguera, Miguel García-Torres, Sebastián A. Grillo, Francisco Gómez-Vela, Katherin Arrua, Ricardo R. Palma, Lorena Andrea Bearzotti:
Fraudulent Transactions Identification Using a Machine Learning Approach. 147-156 - Rudolf Erdei, Daniela Delinschi, Iulia-Maria Baraian, Oliviu Matei:
Aggregation Strategy for Federated Machine Learning Algorithm. 157-167 - B. Vaduva, O. Matei, A. Avram, L. Andreica:
Embedding GIS in Crop Field Bonitation Computation. 168-177 - Carmen Anton, Anca Avram, Oliviu Matei, Laura Andreica, Bogdan Vaduva:
Advancements in Machine Learning Algorithms for Precision Crop Yield Prediction: A Comprehensive Review with Focus on European Union. 178-187 - Ovidiu Cosma, Laura Cosma:
TPC_Net: An Efficient CNN Architecture for Tomato Plant Disease and Pest Classification. 188-198 - Daniela Delinschi, Rudolf Erdei, Emil Pasca, Oliviu Matei:
Data Quality Assessment Methodology. 199-209 - Rudolf Erdei, Emil Pasca, Daniela Delinschi, Anca Avram, Ionela Chereja, Oliviu Matei:
Privacy Assessment Methodology for Machine Learning Models and Data Sources. 210-220 - J. D. Vilaças Nogueira, E. J. Solteiro Pires, Arsénio Reis, P. B. de Moura Oliveira, António Pereira, João Barroso:
Forest Fire Risk Prediction Using Machine Learning. 221-230 - Emil Marian Pasca, Rudolf Erdei, Daniela Delinschi, Oliviu Matei:
Enhancing API Security Testing Against BOLA and Authentication Vulnerabilities Through an LLM-Enhanced Framework. 231-240 - Andreea Tatar, Nicolae Fat, Adrian Petrovan, Oliviu Matei:
A New Vision of Social Behavior on Genetic Algorithm Performance. 241-250
Special Session: Computational Intelligence Applied to Modelling and Control of Engineering Systems
- Victoria López, Pavel Llamocca Portella, Alberto Mérida-Nicolich:
A Classification-Based Algorithm to Characterize Euthymia Data in Mental Health. 253-260 - Eduardo Muñoz Palomeque, Jesús Enrique Sierra-García, Matilde Santos:
First Approach of an Electromechanical Fuzzy Logic Controller for MPPT Wind Turbine Control. 261-269 - Mario Peñacoba, Pablo-Andrés Buestán-Andrade, Jesús Enrique Sierra-García, Matilde Santos, Antonio Ruano:
Affordable Wind Power Forecasting: Implementing LSTM Networks on Low-Cost Hardware Platforms for Enhanced Energy Management. 270-278 - Dennys Mauricio Vallejo Coronel, Cesar Guevara, M. Santos:
Autoencoder Neural Networks for Anomaly Detection in Wind Turbines. 279-289
Special Session: Applied Machine Learning (2nd Edition)
- María Teresa García-Ordás, Paula Arcano-Bea, Manuel Rubiños, Esteban Jove, Diego Narciandi-Rodriguez, Héctor Alaiz-Moretón:
Feature Importance Analysis of Meteorological Weather for Mini Eolic Electrical Power Prediction Using Clustering Information. 293-303 - Jessica Coto Palacio, Daniel Alejandro Ortiz-Tandazo, Alejandro Bautista-Juárez, Agustina Grangetto, Kelsy Cabello-Solorzano, Diana León-Castro, Paola Santana-Morales, Antonio J. Tallón-Ballesteros:
Weighted Feature Ranking Merging for Supervised Machine Learning. 304-311 - Manuel Rubiños, Paula Arcano-Bea, Míriam Timiraos, Álvaro Michelena, Rafael Vega Vega, José Manuel Andújar, José Luís Casteleiro-Roca:
A Hybrid Intelligence Model Forecasts the SOC of Electric Vehicle's Battery. 312-321
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