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ORCID17th SOCO 2022: Salamanca, Spain
- Pablo García Bringas, Hilde Pérez García
, Francisco Javier Martínez de Pisón, José Ramón Villar Flecha, Alicia Troncoso Lora, Enrique A. de la Cal, Álvaro Herrero, Francisco Martínez-Álvarez, Giuseppe Psaila, Héctor Quintián, Emilio S. Corchado Rodríguez:
17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022) - Salamanca, Spain, September 5-7, 2022, Proceedings. Lecture Notes in Networks and Systems 531, Springer 2023, ISBN 978-3-031-18049-1
Decision Support and Deep Learning
- Nicholas Jeffrey, Qing Tan, José R. Villar:
Anomaly Detection of Security Threats to Cyber-Physical Systems: A Study. 3-12 - Bruno Mota, Pedro Faria, Carlos Ramos:
Predictive Maintenance for Maintenance-Effective Manufacturing Using Machine Learning Approaches. 13-22 - Virginia Riego-Del Castillo, Lidia Sánchez-González, Laura Fernández-Robles, Manuel Castejón Limas, Rubén Rebollar:
Estimation of Lamb Weight Using Transfer Learning and Regression. 23-30 - Daniel Amigo, Jesús García, José M. Molina, Jorge Lizcano:
UAV Simulation for Object Detection and 3D Reconstruction Fusing 2D LiDAR and Camera. 31-40 - María Inmaculada Rodríguez-García, Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Ignacio J. Turias:
A SO2 Pollution Concentrations Prediction Approach Using Autoencoders. 41-50 - Daniel Ramos, Pedro Faria, Luis Gomes, Zita A. Vale:
CPU Computation Influence on Energy Consumption Forecasting Activities of a Building. 51-61 - Bruno Ribeiro, Helder Pereira, Luis Gomes, Zita Vale:
Python-Based Ecosystem for Agent Communities Simulation. 62-71 - Javier González-Enrique, Juan Jesús Ruiz-Aguilar, Eduardo Madrid Navarro, Rosa Martínez Álvarez-Castellanos, Ivan Felis Enguix, José M. Jerez, Ignacio J. Turias:
Deep Learning Approach for the Prediction of the Concentration of Chlorophyll ɑ in Seawater. A Case Study in El Mar Menor (Spain). 72-85
Evolutionary Computing
- Vladimir Ilin, Dragan Simic, Marko Velickovic, Nemanja Garunovic:
A Hybrid Discrete Symbiotic Organisms Search Algorithm and List-Based Simulated Annealing Algorithm for Traveling Salesman Problem. 89-97 - Víctor Pérez-Piqueras, Pablo Bermejo López, José A. Gámez:
Estimation of Distribution Algorithms Applied to the Next Release Problem. 98-108 - Noémi Gaskó, Tamás Képes, Mihai Suciu, Rodica Ioana Lung:
An Extremal Optimization Approach to the Pairwise Connectivity Critical Node Detection Problem. 109-118
Neural Networks and Data Mining
- Luis Alfonso Fernández-Serantes, José Luís Casteleiro-Roca, Paulo Novais, Dragan Simic, José Luís Calvo-Rolle:
Dimensional Reduction Applied to an Intelligent Model for Boost Converter Switching Operation. 121-133 - Paolo Fosci, Giuseppe Psaila:
Intuitionistic Fuzzy Sets in J-CO-QL+? 134-145 - Rafael Ayllón-Gavilán, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez:
Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification. 146-155 - Cristian Valencia-Payan, David Griol, Juan Carlos Corrales:
Blockchain for Supply Chain Traceability with Data Validation. 156-165 - David Sánchez Pedroche, Jesús García, José Manuel Molina:
Compression of Clustered Ship Trajectories for Context Learning and Anomaly Detection. 166-175 - Cátia Silva, Pedro Faria, Zita A. Vale:
DR Participants' Actual Response Prediction Using Artificial Neural Networks. 176-185 - Roberto Alcalde, Daniel Urda, Carlos Alonso de Armiño, Santiago García, Manuel Manzanedo, Álvaro Herrero:
Non-linear Neural Models to Predict HRC Steel Price in Spain. 186-194
Soft Computing Applications
- Baterdene Batmunkh, José Antonio Chica Paez, Sergio Gil-Lopez, Maider Arana Bollar, Oihana Jauregi Zorzano, Andoni Aranguren Ubierna, Manuel Graña, J. David Nuñez-Gonzalez:
First Steps Predicting Execution of Civil Works from Georeferenced Infrastructure Data. 197-207 - María Inmaculada Rodríguez-García, Nawel Kouadria, Arantxa M. Ortega León, Javier González-Enrique, Ignacio J. Turias:
Virtual Sensor to Estimate Air Pollution Heavy Metals Using Bioindicators. 208-216 - Ángel Arroyo, Carlos Cambra, Nuño Basurto, Carlos Rad, Milagros Navarro, Álvaro Herrero:
Regression Techniques to Predict the Growth of Potato Tubers. 217-225 - Payam Teimourzadeh Baboli, Amin Raeiszadeh, Michael Brand, Sebastian Lehnhoff:
Reliability-Sensitive Optimization for Provision of Ancillary Services by Tempo-Spatial Correlated Distributed Energy Resources. 226-235
Special Session on Machine Learning and Computer Vision in Industry 4.0
- Riccardo Rosati, Luca Romeo, Víctor Manuel Vargas, Pedro Antonio Gutiérrez, César Hervás-Martínez, Lorenzo Bianchini, Alessandra Capriotti, Rosario Capparuccia, Emanuele Frontoni:
Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques. 239-249 - José Pilaluisa, David Tomás:
The Impact of Content Deletion on Tabular Data Similarity Using Contextual Word Embeddings. 250-259 - David Ortiz-Perez, Pablo Ruiz-Ponce, David Tomás, José García Rodríguez:
Deep Learning-Based Dementia Prediction Using Multimodal Data. 260-269 - Jaime Aznar-Espinosa, Ángela Sánchez-Pérez, José García Rodríguez, Javier Barrachina:
Lightweight Models in Face Attribute Recognition: Performance Under Oclussions. 270-279 - Pablo Ruiz-Ponce, David Ortiz-Perez, José García Rodríguez:
Small Vessel Detection in Changing Seaborne Environments Using Anchor-Free Detectors on Aerial Images. 280-288 - Manuel Torres, Rafael Álvarez, Miguel Cazorla:
Improving Malware Detection with a Novel Dataset Based on API Calls. 289-298 - Luis Lucas, David Tomás, José García Rodríguez:
Identifying Places Using Multimodal Social Network Data. 299-308 - David Alfaro-Viquez, Mauricio-Andrés Zamora-Hernández, Manuel Benavent-Lledó, José García Rodríguez, Jorge Azorín López:
Monitoring Human Performance Through Deep Learning and Computer Vision in Industry 4.0. 309-318 - Pau Climent-Pérez, Alejandro Galán-Cuenca, Nahuel Emiliano Garcia-D'Urso, Marcelo Saval-Calvo, Jorge Azorín López, Andrés Fuster Guilló:
Automatic Fish Size Estimation from Uncalibrated Fish Market Images Using Computer Vision and Deep Learning. 319-329 - Jorge García-González, Iván García Aguilar, Daniel Medina, Rafael Marcos Luque Baena, Ezequiel López-Rubio, Enrique Domínguez:
Vehicle Overtaking Hazard Detection over Onboard Cameras Using Deep Convolutional Networks. 330-339 - Nour Islam Mokhtari, Igor Jovancevic, Hamdi Ben Abdallah, Jean-José Orteu:
Image Classification Applied to the Problem of Conformity Check in Industry. 340-349 - Damián Nimo, Javier González-Enrique, David Perez, Juan Almagro, Daniel Urda, Ignacio J. Turias:
A Virtual Sensor Approach to Estimate the Stainless Steel Final Chemical Characterisation. 350-360 - Luis Moles, Fernando Boto, Goretti Echegaray, Iván G. Torre:
Convolutional Neural Networks for Structured Industrial Data. 361-370 - Dominik Stursa, Dusan Kopecký, Jiri Rolecek, Petr Dolezel, Bruno Baruque Zanon:
Classification of Polymers Based on the Degree of Their Transparency in SWIR Spectrum. 371-382 - Revanth Shankar Muthuselvam, Ramón Moreno, Mario Guemes, Miguel Del Río Cristobal, Ignacio de Rodrigo Tobías, Alvaro Jesús López López:
Deep Learning Based Baynat Foam Classification for Headliners Manufacturing. 383-390
Special Session on Time Series Forecasting in Industrial and Environmental Applications
- Carlo Ciancarelli, Giorgio De Magistris, Salvatore Cognetta, Daniele Appetito, Christian Napoli, Daniele Nardi:
A GAN Approach for Anomaly Detection in Spacecraft Telemetries. 393-402 - Cristina Martínez González, Athénaïs Sauvée, Santiago Porras Alfonso, Julio Cesar Puche Regaliza:
Management and Forecasting of the Demand for Caskets in the Funeral Sector. Study Before and During the Covid-19 Pandemic. 403-412 - Juan Alberto Gallardo-Gómez, Federico Divina, Alicia Troncoso, Francisco Martínez-Álvarez:
Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem. 413-422 - Ejigu T. Habtermariam, Kula Kekeba Tune, Alicia Troncoso, Francisco Martínez-Álvarez:
A Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia. 423-432
Special Session on Optimization, Modeling and Control by Soft Computing Techniques
- Felipe Barreno, Matilde Santos, Manuel G. Romana:
Abnormal Driving Behavior Identification Based on Naturalistic Driving Data Using LSTM Recurrent Neural Networks. 435-443 - Igone Morais-Quilez, Manuel Graña:
Identification of Critical Subgraphs in Drone Airways Graphs by Graph Convolutional Networks. 444-453 - Javier Argente Mena, Jesús Enrique Sierra-García, Matilde Santos Peñas:
Robust Velocity Control of an Automated Guided Vehicle Using Artificial Neural Networks. 454-463 - Aimar Alonso, Asier Zabaljauregi, Mikel Larrea, Eloy Irigoyen, Javier Sanchis:
Studying the Use of ANN to Estimate State-Space Variables for MIMO Systems in a NMPC Strategy. 464-473 - Asier Zabaljauregi, Aimar Alonso, Mikel Larrea, Eloy Irigoyen, Javier Sanchis:
Control of MIMO Systems with iMO-NMPC Strategy. 474-483 - Eduardo Bayona, Jesús Enrique Sierra-García, Matilde Santos:
Optimization of Trajectory Generation for Automatic Guided Vehicles by Genetic Algorithms. 484-492
Special Session on Soft Computing Applied to Renewable Energy Systems
- Eduardo Muñoz Palomeque, Jesús Enrique Sierra-García, Matilde Santos:
Complementing Direct Speed Control with Neural Networks for Wind Turbine MPPT. 495-504 - Payam Aboutalebi, Fares M'zoughi, Irfan Ahmad, Aitor J. Garrido, Izaskun Garrido:
A Control Approach on Hybrid Floating Offshore Wind Turbines for Platform and Generated Power Oscillations Reduction at Below-rated Wind Speed. 505-514 - Giordy Alexander Andrade Aimara, Segundo Esteban San Román, Matilde Santos:
Control Tuning by Genetic Algorithm of a Low Scale Model Wind Turbine. 515-524 - Mikel Serrano, Jesús Enrique Sierra-García, Matilde Santos, Giordy Alexander Andrade:
Pitch-Based Wind Turbine Tower Vibration Damping Optimized by Simulated Annealing. 525-533 - Fabio Rodríguez, William D. Chicaiza, Adolfo J. Sánchez, Juan Manuel Escaño:
Neural Networks Techniques for Fault Detection and Offset Prediction on Wind Turbines Sensors. 534-543
Special Session on Pre-processing Big Data in Machine Learning
- Paulo Pombinho, Luís Cavique, Luís Correia:
Errors of Identifiers in Anonymous Databases: Impact on Data Quality. 547-556 - Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Isabel Sofia Sousa Brito, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés:
Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection. 557-566 - Marco A. Peña-Cubillos, Alejandro Villar-Ruiz, Antonio J. Tallón-Ballesteros, Yaoyang Wu, Simon Fong:
Classification Methods for MOBA Games. 567-574 - Antonio J. Tallón-Ballesteros, Alba Márquez-Rodríguez, Yaoyang Wu, Paola Santana-Morales, Simon Fong:
Feature Ranking for Feature Sorting and Feature Selection, and Feature Sorting: FR4(FSoFS)$\wedge $FSo. 575-583
Special Session on Tackling Real World Problems with Artificial Intelligence
- Bola Abimbola, Qing Tan, José Ramón Villar:
Introducing Intelligence to the Semantic Analysis of Canadian Maritime Case Law: Case Based Reasoning Approach. 587-595 - Enrique Fernádez, José Ramón Villar, Alberto Navarro, Javier Sedano:
Case-Based Reasoning for the Prediction of Flash Flood. 596-605 - Luciano Sánchez, Pablo Luque, Daniel Álvarez-Mántaras, José Otero, Nahuel Costa:
Weakly Supervised Learning of the Motion Resistance of a Locomotive Powered by Liquefied Natural Gas. 606-615 - Paula Verde, Rubén Ferrero-Guillén, José-Manuel Alija-Pérez, Alberto Martínez-Gutiérrez, Javier Díez-González, Hilde Pérez:
Node Location Optimization for Localizing UAVs in Urban Scenarios. 616-625 - Anikó Kopacz, Lehel Csató, Camelia Chira:
Applying Deep Q-learning for Multi-agent Cooperative-Competitive Environments. 626-634 - Enrique A. de la Cal, Javier Sedano, Alberto Gallucci, Paloma Valderde:
A Comparison of Two Speech Emotion Recognition Algorithms: Pepper Humanoid Versus Bag of Models. 635-644 - Dragan Simic, José Luís Calvo-Rolle, José R. Villar, Vladimir Ilin, Svetislav D. Simic, Svetlana Simic:
Fine-Tuning of Optimisation Parameters in a Firefly Algorithm in Inventory Management. 645-654 - Rudolf Erdei, Daniela Delinschi, Oliviu Matei:
Security Centric Scalable Architecture for Distributed Learning and Knowledge Preservation. 655-665
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