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Serafín Alonso Castro
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2020 – today
- 2024
- [j16]Serafín Alonso, Antonio Morán, Daniel Pérez, Miguel A. Prada, Juan José Fuertes, Manuel Domínguez:
Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder. Integr. Comput. Aided Eng. 31(2): 157-172 (2024) - [j15]Raúl González-Herbón
, Guzmán González-Mateos
An Approach to Develop Digital Twins in Industry. Sensors 24(3): 998 (2024) - [c19]Antonio Morán
Machine Learning Modeling in Industrial Processes for Visual Analysis. EANN 2024: 379-391 - 2023
- [j14]Juan José Fuertes, Raúl González-Herbón, José Ramón Rodríguez-Ossorio, Guzmán González-Mateos, Serafín Alonso, Antonio Morán:
Guidelines to develop demonstration models on industry 4.0 for engineering training. Int. J. Comput. Integr. Manuf. 36(10): 1465-1481 (2023) - [c18]Serafín Alonso
Hierarchical Prediction in Incomplete Submetering Systems Using a CNN. EANN 2023: 239-250 - [c17]Raúl González-Herbón
Virtual Flow Meter for an Industrial Process. EANN 2023: 433-444 - [e1]Lazaros Iliadis
Engineering Applications of Neural Networks - 24th International Conference, EAAAI/EANN 2023, León, Spain, June 14-17, 2023, Proceedings. Communications in Computer and Information Science 1826, Springer 2023, ISBN 978-3-031-34203-5 [contents] - 2022
- [c16]Serafín Alonso
Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network. EANN 2022: 247-259 - 2021
- [j13]Daniel Pérez
Evaluation of feature learning for anomaly detection in network traffic. Evol. Syst. 12(1): 79-90 (2021) - [j12]Serafín Alonso, Antonio Morán Álvarez, Daniel Pérez, Miguel A. Prada
Virtual sensor for probabilistic estimation of the evaporation in cooling towers. Integr. Comput. Aided Eng. 28(4): 369-381 (2021) - 2020
- [j11]Serafín Alonso
Estimating cooling production and monitoring efficiency in chillers using a soft sensor. Neural Comput. Appl. 32(23): 17291-17308 (2020) - [j10]Antonio Morán Álvarez
Feature Extraction from Building Submetering Networks Using Deep Learning. Sensors 20(13): 3665 (2020) - [c15]Serafín Alonso
Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network. EANN 2020: 155-166
2010 – 2019
- 2019
- [j9]Serafín Alonso
A Deep Learning Approach for Fusing Sensor Data from Screw Compressors. Sensors 19(13): 2868 (2019) - [c14]Serafín Alonso
Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers. EANN 2019: 307-319 - [c13]Daniel Pérez
Comparison of Network Intrusion Detection Performance Using Feature Representation. EANN 2019: 463-475 - 2017
- [j8]Luis Martín-Liras, Miguel A. Prada
Comparative analysis of the security of configuration protocols for industrial control devices. Int. J. Crit. Infrastructure Prot. 19: 4-15 (2017) - [c12]Antonio Morán Álvarez, Serafín Alonso, Miguel A. Prada
Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders. EANN 2017: 15-26 - 2015
- [j7]Miguel A. Prada
Challenges and solutions in remote laboratories. Application to a remote laboratory of an electro-pneumatic classification cell. Comput. Educ. 85: 180-190 (2015) - [j6]Manuel Domínguez-González
Dimensionality reduction techniques to analyze heating systems in buildings. Inf. Sci. 294: 553-564 (2015) - [c11]Serafín Alonso, Miguel A. Prada
Analysis of Electricity Bill Data using Interactive Dimensionality Reduction. EANN Workshops 2015: 3:1-3:7 - 2014
- [j5]Manuel Domínguez-González
Remote laboratory of a quadruple tank process for learning in control engineering using different industrial controllers. Comput. Appl. Eng. Educ. 22(3): 375-386 (2014) - 2013
- [j4]Antonio Morán Álvarez
Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques. Eng. Appl. Artif. Intell. 26(8): 1872-1880 (2013) - [j3]Antonio Morán Álvarez
Analysis of electricity bills using visual continuous maps. Neural Comput. Appl. 23(3-4): 645-655 (2013) - [j2]Juan J. Fuertes-Martínez
Visualization maps based on SOM to analyze MIMO systems. Neural Comput. Appl. 23(5): 1407-1419 (2013) - [c10]Pablo Barrientos, Carlos J. del Canto, Antonio Morán Álvarez
Analysis of Heating Systems in Buildings Using Self-Organizing Maps. EANN (1) 2013: 370-379 - [c9]Manuel Domínguez-González
Education on Automatic Control for Professionals through the LRA-ULE Remote Laboratory. ACE 2013: 90-95 - 2012
- [j1]Manuel Domínguez-González
Monitoring industrial processes with SOM-based dissimilarity maps. Expert Syst. Appl. 39(8): 7110-7120 (2012) - [c8]Antonio Morán Álvarez
Analysis of Electricity Consumption Profiles by Means of Dimensionality Reduction Techniques. EANN 2012: 152-161 - [c7]Antonio Morán Álvarez
Two-Stage Approach for Electricity Consumption Forecasting in Public Buildings. IDA 2012: 219-229 - [c6]Manuel Domínguez-González
Improving User Interaction in Remote Laboratories through HTML5/AJAX. ACE 2012: 282-287 - [c5]Juan J. Fuertes-Martínez
Virtual and Remote Laboratory of a DC Motor. ACE 2012: 288-293 - 2011
- [c4]Serafín Alonso
Comparative Analysis of Power Consumption in University Buildings Using envSOM. IDA 2011: 10-21 - [c3]Serafín Alonso
EnvSOM: A SOM Algorithm Conditioned on the Environment for Clustering and Visualization. WSOM 2011: 61-70 - 2010
- [c2]Miguel A. Prada
Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial Processes. ICANN (2) 2010: 392-401
2000 – 2009
- 2009
- [c1]Manuel Domínguez, Juan J. Fuertes-Martínez, Perfecto Reguera-Acevedo, Miguel A. Prada, Serafín Alonso, Antonio Morán Álvarez, Fernando Briz, Alberto B. Diez:
Tool for instruction and learning on variable speed drives through the Internet. ECC 2009: 4048-4053
Coauthor Index
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