Información General

• Autores: Hugo Sanjurjo González (ed. lit.), Iker Pastor López (ed. lit.), Héctor Quintián Bringas (ed. lit.), Emilio Santiago Corchado Rodríguez (ed. lit.)
• Editores: Springer Suiza
• Año de publicación: 2022
• Colecciones: Advances in Intelligent Systems and Computing, 1401
• País: Suiza
• Idioma: inglés
• ISBN: 978-3-030-87868-9, 978-3-030-87869-6
• Recoge los contenidos presentados a: International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO (16. 2021).
• Texto completo no disponible (Saber más ...)

Resumen

• This book of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2021 conference held in the beautiful and historic city of Bilbao (Spain), in September 2021.

  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 through peer-review process, the 16th SOCO 2021 International Program Committee selected 78 papers which are published in these conference proceedings and represents an acceptance rate of 48%. In this relevant edition, a special emphasis is put on the organization of special sessions. Seven special sessions are organized related to relevant topics as follows: applications of machine learning in computer vision; soft computing applied to autonomous robots and renewable energy systems; optimization, modeling, and control by soft computing techniques (OMCS); challenges and new approaches toward artificial intelligence deployments in real-world scenarios; time series forecasting in industrial and environmental applications (TSF); soft computing methods in manufacturing and management systems and applied machine learning.

  The selection of papers was extremely rigorous in order to maintain the high quality of the conference, and we would like to thank the members of the program committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference, and the SOCO conference would not exist without their help.

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Listado de artículos

• • Machine Learning

    • A Comparison of Techniques for Virtual Concept Drift Detection

      Manuel L. González, Javier Sedano Franco, Ángel Miguel García Vico, José Ramón Villar Flecha

      págs. 3-13

      

    • Dimensional Reduction on an Intelligent Model for Efficiency Improvement of Switching Modes Detection

      Luis Alfonso Fernández Serantes, José-Luis Casteleiro-Roca, Hubert Berger, Dragan Simić, José Luis Calvo Rolle

      págs. 14-23

      

    • Performance and explainability of reservoir computing models for industrial prognosis

      Unai Armentia, Irantzu Barrio Beraza, Javier del Ser Lorente

      págs. 24-36

      

    • A Data-Driven Approach for Components Useful Life Estimation in Wind Turbines

      Alejandro Zornoza Martínez, Jesús Martínez Gómez, José Antonio Gámez Martín

      págs. 37-47

      

    • Towards Adaptive Gamification in Small Online Communities

      Víctor Sánchez Anguix, Juan M. Alberola, Vicente J. Julián Inglada

      págs. 48-57

      

    • LSTM vs CNN in Real Ship Trajectory Classification

      Juan Pedro Llerena, Jesús García Herrero, José Manuel Molina López

      págs. 58-67

      

    • A Comparison of Learning Approaches to Dialogue Management in Conversational Systems

      David Griol Barres, Zoraida Callejas Carrión

      págs. 68-77

      

    • Aspect-Based Sentiment Analysis in Drug Reviews Based on Hybrid Feature Learning

      Asmaa Hashem Sweidan, Nashwa El Bendary, Haytham Al Feel

      págs. 78-87

      

  • Smart Cities and IOT

    • Low-Cost Deep Learning-Based Prototype for Automatic Identification of Traffic Signs in Vehicles

      Enol García González, José Ramón Villar Flecha, Enrique Antonio de la Cal Marín

      págs. 91-100

      

    • Visual Mining of Industrial Gas Turbines Sensor Data as an Industry 4.0 Application

      Angel X. Astudillo Aguilar, Stefano Rosso, Karina Gibert Oliveras, Alfredo Vellido Alacena

      págs. 101-111

      

    • Visually Monitoring the Performance of a Component-Based Robot

      Nuño Basurto Hornillos, Carlos Cambra Baseca, Álvaro Herrero Cosío

      págs. 112-121

      

    • Optimizing Communication Data Streams in Edge Computing Systems Using Bayesian Algorithms

      Nerea Gómez Larrakoetxea, Borja Sanz Urquijo, Iker Pastor López, Jon García Barruetabeña, Pablo García Bringas

      • Resumen

      págs. 122-131

      

  • Temporal Data Analysis

    • Time Series Forecasting of Gold Prices with the Help of Its Decomposition and Multivariate Adaptive Regression Splines

      Fernando Sánchez Lasheras, Paulino José García Nieto, María Esperanza García Gonzalo, Gregorio Fidalgo Valverde, Alicja Krzemień

      págs. 135-144

      

    • Time Series Analysis for the COMEX Gold Spot Price Forecasting by Using NARX DE/SVR and DE/GPR Techniques

      María Esperanza García Gonzalo, Paulino José García Nieto, Gregorio Fidalgo Valverde, Pedro Riesgo Fernández, Fernando Sánchez Lasheras

      págs. 145-154

      

    • Data Mines in Real Estate Web Pages: Investigation of Changes in the Czech Real Estate Market Based on Elasticity and on Modified Price Volume Indicator

      Alena Pozdílková, Jaroslav Marek

      págs. 155-164

      

  • Soft Computing Applications

    • The Weak Supervision Approach for Question Answering over Text Using Triplets Recovering with QA-Based Rankers

      Dmitriy Alexandrov, Nikolay Butakov, Timur Sokhin

      págs. 167-177

      

    • VR-Photosense: A Virtual Reality Photic Stimulation Interface for the Study of Photosensitivity

      Sofía Martín, Víctor Manuel Álvarez García, Beatriz García López, Víctor M. González, José Ramón Villar Flecha

      págs. 178-186

      

    • Guidance of Unmanned Surface Vehicle Fleet Using Genetic Algorithm-Based Approach

      Miroslav Dvorak, Petr Doležel, Dominik Štursa, Mohamed Chouai

      págs. 187-197

      

    • Toward Reusing the Numerical Association Rule Mining Models

      Iztok Fister, Andrés Iglesias, Akemi Gálvez Tomida, Iztok Fister

      págs. 198-206

      

    • Powering Soft Querying in J-CO-QL with JavaScript Functions

      Paolo Fosci, Giuseppe Psaila

      págs. 207-221

      

    • Image Reconstruction of Colored Bitmap Fractal Images Through Bat Algorithm and Color-Based Image Clustering

      Akemi Gálvez Tomida, Iztok Fister, Iztok Fister, Andrés Iglesias

      págs. 222-232

      

    • Intraday Energy Resource Scheduling for Load Aggregators Considering Local Market

      Jos Almeida, João Soares, Bruno Miguel da Rocha Canizes, Ivn Razo Zapata, Zita Vale

      págs. 233-242

      

    • Energy Predictions for System on a Chip Solutions

      Luis Gomes, Zita Vale

      págs. 243-250

      

    • Texture Descriptors for Automatic Classification of Surface Defects of the Hot-Rolled Steel Strip

      Virginia Riego del Castillo, Lidia Sánchez González, Alexis Gutiérrez Fernández

      págs. 251-260

      

    • PhrasIS: Phrase Inference and Similarity Benchmark

      Íñigo López Gazpio, José Gaviria de la Puerta, Pablo García Bringas, Hugo Sanjurjo González, Borja Sanz Urquijo, Montse Maritxalar Anglada, Eneko Agirre Bengoa

      • Resumen

      págs. 261-272

      

    • A Scalable and Flexible Open Source Big Data Architecture for Small and Medium-Sized Enterprises

      Luis Iñiguez Jiménez, Mikel Galar Idoate

      págs. 273-282

      

    • Codebook-Based Near-Duplicate Video Detection

      Guillermo Hernández González, María Angélica González Arrieta, Paulo Novais, Sara Rodríguez González

      págs. 283-293

      

    • Automatic Individual Tree Detection from Combination of Aerial Imagery, LiDAR and Environment Context

      Daniel Amigo, David Sánchez, Jesús García Herrero, José Manuel Molina López

      págs. 294-303

      

    • A First Prototype of an Emotional Smart Speaker

      Enrique Antonio de la Cal Marín, Alberto Gallucci, José Ramón Villar Flecha, Kaori Yoshida, Mario Koeppen

      págs. 304-313

      

    • A New Information Infrastructure Approach for End-To-End Supply Chain Management

      Dragan Simić, José Luis Calvo Rolle, José Ramón Villar Flecha, Vladimir Ilin, Svetislav D. Simić, Svetlana Simić

      págs. 314-323

      

  • Special Session - Applications of Machine Learning in Computer Vision

    • Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences

      Esteban José Palomo Ferrer, Jesús Benito Picazo, Enrique Domínguez Merino, Ezequiel López Rubio, Francisco Ortega Zamorano

      págs. 327-337

      

    • Autoencoder and Modified YOLOv3 Based Firearms Object Detection in X-ray Baggage Images to Enhance Aviation Safety

      Mohamed Chouai, Mostefa Merah, José Luis Sancho Gómez, Petr Doležel

      págs. 338-347

      

    • Predicting Landslides with Machine Learning Methods Using Temporal Sequences of Meteorological Data

      Byron Guerrero Rodríguez, Jaime Salvador Meneses, José García Rodríguez

      págs. 348-357

      

    • Webpage Categorization Using Deep Learning

      Christian Iván Mejía Escobar, Miguel Cazorla Quevedo, Ester Martínez Martín

      págs. 358-368

      

    • Exploiting the Relationship Between Visual and Textual Features in Social Networks for Image Classification with Zero-Shot Deep Learning

      Luis Lucas Ibáñez, David Tomás Díaz, José García Rodríguez

      págs. 369-378

      

    • Improving Landslides Prediction: Meteorological Data Preprocessing Using Random Forest-Based Feature Selection

      Byron Guerrero Rodríguez, Jaime Salvador Meneses, José García Rodríguez

      págs. 379-387

      

    • Foreground Segmentation Improvement by Image Denoising Preprocessing Applied to Noisy Video Sequences

      Jorge García González, Juan Miguel Ortiz de Lazcano Lobato, Rafael Marcos Luque Baena, Ezequiel López Rubio

      págs. 388-397

      

    • Predicting Human Actions in the Assembly Process for Industry 4.0

      Mauricio Andrés Zamora Hernández, Jose Andrez Chaves Ceciliano, Alonso Villalobos Granados, José García Rodríguez, Jorge Azorín López

      págs. 398-407

      

    • Medical Catheters Grasping Point Detection with Quality Control

      Dominik Štursa, Petr Doležel, Bruno Zanon

      págs. 408-418

      

    • Sentiment Analysis and Image Classification in Social Networks with Zero-Shot Deep Learning: Applications in Tourism

      Luis Lucas Ibáñez, David Tomás Díaz, José García Rodríguez

      págs. 419-428

      

    • Estimating Context Aware Human-Object Interaction Using Deep Learning-Based Object Recognition Architectures

      Iván San Martín Fernández, Sergiu Oprea, John Alejandro Castro Vargas, Pablo Martínez González, José García Rodríguez

      págs. 429-438

      

    • Interaction Estimation in Egocentric Videos via Simultaneous Hand-Object Recognition

      Manuel Benavent Lledó, Sergiu Oprea, John Alejandro Castro Vargas, Pablo Martínez González, José García Rodríguez

      págs. 439-448

      

  • Special Session - Soft Computing Applied to Autonomous Robots and Renewable Energy Systems

    • Evolutive Tuning Optimization of a PID Controller for Autonomous Path-Following Robot

      Mikel Rico Abajo, Jesús Enrique Sierra García, Matilde Santos Peñas

      págs. 451-460

      

    • Intelligent Hybrid Controllers for the Blade Angle of Floating Wind Turbines

      Carlos L. Serrano Barreto, Jesús Enrique Sierra García, Matilde Santos Peñas

      págs. 461-470

      

    • Generation of Restricted Zones for AGVs Routes by Clustering Algorithms

      Marcos Millán, Jesús Enrique Sierra García, Matilde Santos Peñas

      págs. 471-479

      

    • Iterative Obstacle Avoidance Algorithm for Mobile Robots

      Jesús Enrique Sierra García, Marcos Millán, Matilde Santos Peñas

      págs. 480-488

      

  • Special Session - Optimization, Modeling and Control by Soft Computing Techniques (OMCS)

    • Descent of a Suborbital Rocket: A Simulation Case Study Using CFD, Parametric Models and Neural Networks

      Pablo Díez Arrizabalaga, César Ernesto Hernández Hernández, Matilde Santos Peñas

      págs. 491-501

      

    • Critical Node Detection for Maximization of Connected Components: An Extremal Optimization Approach

      Noémi Gaskó, Tamás Képes, Mihai-Alexandru Suciu, Rodica Ioana Lung

      págs. 502-511

      

    • Optimal Node Distribution in Wireless Sensor Networks Considering Sensor Selection

      Javier Díez González, Rubén Álvarez Fernández, Paula Verde García, Rubén Ferrero Guillén, Alberto Martínez Gutiérrez, Hilde Pérez García

      págs. 512-522

      

  • Special Session - Challenges and New Approaches Towards Artificial Intelligence Deployments in Real-World Scenarios

    • Machine learning based soft sensing tool for the prediction of leaf wetness duration in precision agriculture

      Maria Arostegi, Diana Manjarrés Martínez, Sonia Bilbao Arechavala, Javier del Ser Lorente

      págs. 525-535

      

    • Temperature-Effect Compensation for Leak Detectors by Using Machine Learning Techniques

      Juan Luis Ferrando, Ander García Gangoiti, Xabier Oregui Biain, Andoni Bilbao, Eneko Fernandez, Zelmar Etxegoien

      págs. 536-545

      

    • An Online Feature Selection Methodology for Ball-Bearing Harmonic Frequencies Based on HMMs

      Carlos Puerto Santana, Pedro Larrañaga Múgica, Javier Diaz Rozo, Concha Bielza Lozoya

      págs. 546-555

      

    • A Novel Methodology for the Characterization of Cutting Conditions in Turning Processes Using Machine Learning Models and Acoustic Emission Signals

      Telmo Fernández de Barrena, Juan Luis Ferrando, Ander García Gangoiti, Pedro José Arrazola Arriola, José Manuel Abete Huici, Diego Herrero

      págs. 556-566

      

    • Non-intrusive Load Monitoring Based on Event Detection and Unsupervised Learning for Airport Baggage Handling Systems

      Miguel Angel Bermeo Ayerbe, David Antonio Cruz Rangel, Javier Diaz Rozo, C. Ocampo-Martínez

      págs. 567-577

      

    • Mutagenic Prediction for Chemical Compound Discovery with Partitioned Graph Convolution Network

      Hyung Jun Moon, Seok Jun Bu, Sung Bae Cho

      págs. 578-587

      

    • Multivariate Adaptive Downsampling Algorithm for Industry 4.0 Data Visualization

      Javier Franco, Ander García Gangoiti, Amaia Gil Lerchundi

      págs. 588-597

      

    • Anomaly Detection for Health Monitoring of Heavy Equipment Using Hierarchical Prediction with Correlative Feature Learning

      Gye bong Jang, Sung Bae Cho

      págs. 598-608

      

    • Discrete-Event-Simulation Based on Machine Learning Predictive Agents

      Javier Andión Jiménez, Juan Carlos Dueñas López, Félix Aurelio Cuadrado Latasa

      págs. 609-619

      

    • Enhancing Short-Term Velocity Forecasting Models by Using ML Models and Traffic Patterns Information

      Cristián Lira, Bastián Véjar, Fernando Ordóñez, Sebastián A. Ríos

      págs. 620-629

      

  • Special Session - Time Series Forecasting in Industrial and Environmental Applications (TSF)

    • Automated Data-Driven Approach for Gap Filling in the Time Series Using Evolutionary Learning

      Mikhail Sarafanov, Nikolay O. Nikitin, Anna V. Kalyuzhnaya

      págs. 633-642

      

    • Forecasting a Fashion Collection with the Optimization of Costs of Overestimation and Underestimation of Demand

      Mariusz Czekała, Jacek Jagodziński, Jakub Przybylski, Dawid Zaraza, Karol Ziółkowski

      págs. 643-653

      

    • Feature Selection on Spatio-Temporal Data for Solar Irradiance Forecasting

      Manuel Carranza García, Pedro Lara Benítez, Jose María Luna Romera, José Cristobal Riquelme Santos

      págs. 654-664

      

    • Electricity Generation Forecasting in Concentrating Solar-Thermal Power Plants with Ensemble Learning

      A. Melara, José Francisco Torres Maldonado, Alicia Troncoso Lara, Francisco Martínez Álvarez

      págs. 665-674

      

    • An Extensive Comparative Between Univariate and Multivariate Deep Learning Models in Day-Ahead Electricity Price Forecasting

      Belén Vega Márquez, Javier Solís García, Isabel de los Ángeles Nepomuceno Chamorro, Cristina Rubio Escudero

      págs. 675-684

      

    • Forecasting Electricity Consumption Data from Paraguay Using a Machine Learning Approach

      José A. Gallardo, Miguel García Torres, Francisco Gómez Vela, Félix Morales, Federico Divina, David Becerra Alonso, Gustavo Velázquez, Federico Daumas Ladouce, José Luis Vázquez Noguera, Carlos Sauer Ayala, Diego P. Pinto Roa, Pedro Esteban Gardel Sotomayor, Julio César Mello Román

      págs. 685-694

      

    • Hybrid Orbit Propagator Based on Neural Networks. Multivariate Time Series Forecasting Approach

      Hans Mauricio Carrillo Hernández, Edna Segura, Rosario López Gómez, Iván Luis Pérez Barrón, Juan Félix San Juan Díaz

      págs. 695-705

      

    • Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology

      Jose María Luna Romera, Manuel Carranza García, David Gutiérrez Avilés, José Cristobal Riquelme Santos

      págs. 706-716

      

    • HLNet: A Novel Hierarchical Deep Neural Network for Time Series Forecasting

      Manuel Jesús Jiménez Navarro, Francisco Martínez Álvarez, Alicia Troncoso Lara, Gualberto Asencio Cortés

      págs. 717-727

      

    • Earthquake Prediction in California Using Feature Selection Techniques

      Joaquin Roiz Pagador, Andrés Manuel Chacón Maldonado, Roberto Ruiz, Gualberto Asencio Cortés

      págs. 728-738

      

    • Medium-Term Electricity Consumption Forecasting in Algeria Based on Clustering, Deep Learning and Bayesian Optimization Methods

      Dalil Hadjout, José Francisco Torres Maldonado, Abderrazak Sebaa, Francisco Martínez Álvarez

      págs. 739-748

      

  • Special Session - Soft Computing Methods in Manufacturing and Management Systems

    • Efficient Tabu Search Algorithm for the Cyclic Inspection Problem

      Wojciech Bożejko, Radosław Grymin, Jarosław Pempera, Mieczysław Wodecki

      págs. 751-757

      

    • Parallel Block-Based Simulated Annealing for the Single Machine Total Weighted Tardiness Scheduling Problem

      Wojciech Bożejko, Jarosław Pempera, Mariusz Uchroński, Mieczysław Wodecki

      págs. 758-765

      

    • The Improvement of Machining Process Scheduling with the Use of Heuristic Algorithms

      Anna Burduk, Łukasz Łampika, Dagmara Łapczyńska, Kamil Musiał

      págs. 766-776

      

    • Sequencing for Improving Mixed-Model Assembly Line Supply Using Heuristic Algorithms

      Karol Dziki, Damian Krenczyk

      págs. 777-788

      

    • Job Shop Scheduling with Transport by Automated Guided Vehicles

      Czeslaw Smutnicki, Jarosław Pempera

      págs. 789-799

      

  • Special Session - Applied Machine Learning

    • Supervised Machine Learning Techniques in the Bitcoin Transactions: A Case of Ransomware Classification

      José A. Blanco, Antonio Javier Tallón Ballesteros

      págs. 803-810

      

    • Analysis of the Tourism Industry in Ecuador by Means of Soft Computing Techniques

      Anita Krupskaia Herrera Vaca, Ángel Arroyo Puente, Alfredo Jiménez Palmero, Álvaro Herrero Cosío

      págs. 811-820

      

    • Attribute Subset Selection for Image Recognition. Random Forest Under Assessment

      Antonio Javier Tallón Ballesteros, Luís Correia, Rocío Leal Díaz

      págs. 821-827