Juan J. Fuertes-Martínez

Guzmán González-Mateos

Sensors, February, 2024

Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder.

[BibT_eX]

[DOI]

Integr. Comput. Aided Eng., 2024

Deep Echo State Networks for Modelling of Industrial Systems.

[BibT_eX]

[DOI]

Proceedings of the Engineering Applications of Neural Networks, 2024

Machine Learning Modeling in Industrial Processes for Visual Analysis.

[BibT_eX]

[DOI]

Proceedings of the Engineering Applications of Neural Networks, 2024

2023

Guidelines to develop demonstration models on industry 4.0 for engineering training.

[BibT_eX]

[DOI]

Guzmán González-Mateos

Antonio Morán

Int. J. Comput. Integr. Manuf., October, 2023

Adaptive Model for Industrial Systems Using Echo State Networks.

[BibT_eX]

[DOI]

Proceedings of the Engineering Applications of Neural Networks, 2023

Virtual Flow Meter for an Industrial Process.

[BibT_eX]

[DOI]

Guzmán González-Mateos

Proceedings of the Engineering Applications of Neural Networks, 2023

Hierarchical Prediction in Incomplete Submetering Systems Using a CNN.

[BibT_eX]

[DOI]

Proceedings of the Engineering Applications of Neural Networks, 2023

2022

Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network.

[BibT_eX]

[DOI]

Proceedings of the Engineering Applications of Neural Networks, 2022

2021

Virtual sensor for probabilistic estimation of the evaporation in cooling towers.

[BibT_eX]

[DOI]

Integr. Comput. Aided Eng., 2021

Evaluation of feature learning for anomaly detection in network traffic.

[BibT_eX]

[DOI]

Evol. Syst., 2021

Environment for Education on Industry 4.0.

[BibT_eX]

[DOI]

Miguel Ángel Prada

IEEE Access, 2021

2020

Feature Extraction from Building Submetering Networks Using Deep Learning.

[BibT_eX]

[DOI]

Sensors, 2020

Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network.

[BibT_eX]

[DOI]

Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference, 2020

2019

A Deep Learning Approach for Fusing Sensor Data from Screw Compressors.

[BibT_eX]

[DOI]

Sensors, 2019

Comparison of Network Intrusion Detection Performance Using Feature Representation.

[BibT_eX]

[DOI]

Proceedings of the Engineering Applications of Neural Networks, 2019

2017

Comparative analysis of the security of configuration protocols for industrial control devices.

[BibT_eX]

[DOI]

Luis Martín-Liras

Int. J. Crit. Infrastructure Prot., 2017

Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Engineering Applications of Neural Networks, 2017

2015

Dimensionality reduction techniques to analyze heating systems in buildings.

[BibT_eX]

[DOI]

Inf. Sci., 2015

Challenges and solutions in remote laboratories. Application to a remote laboratory of an electro-pneumatic classification cell.

[BibT_eX]

[DOI]

Serafín Alonso Castro

Sergio García de Prado

Comput. Educ., 2015

Analysis of Electricity Bill Data using Interactive Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the Workshop Proceedings of the 16th International Conference on Engineering Applications of Neural Networks, 2015

2014

Remote laboratory of a quadruple tank process for learning in control engineering using different industrial controllers.

[BibT_eX]

[DOI]

Comput. Appl. Eng. Educ., 2014

2013

Analysis of electricity bills using visual continuous maps.

[BibT_eX]

[DOI]

Juan José Fuertes-Martínez

Neural Comput. Appl., 2013

Visualization maps based on SOM to analyze MIMO systems.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2013

Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2013

Remote Laboratory with an Electro-Pneumatic Classication Cell.

[BibT_eX]

[DOI]

Carlos Javier Del Canto Masa

Sergio García de Prado

Proceedings of the 10th IFAC Symposium on Advances in Control Education, 2013

Education on Automatic Control for Professionals through the LRA-ULE Remote Laboratory.

[BibT_eX]

[DOI]

Juan José Fuertes-Martínez

Serafín Alonso Castro

Proceedings of the 10th IFAC Symposium on Advances in Control Education, 2013

Analysis of Heating Systems in Buildings Using Self-Organizing Maps.

[BibT_eX]

[DOI]

Carlos J. del Canto

Proceedings of the Engineering Applications of Neural Networks, 2013

2012

Monitoring industrial processes with SOM-based dissimilarity maps.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2012

MorphingProjections: Interactive Visualization of Electric Power Demand Time Series.

[BibT_eX]

[DOI]

Alberto B. Diez González

Proceedings of the 14th Eurographics Conference on Visualization, 2012

Virtual and Remote Laboratory of a DC Motor.

[BibT_eX]

[DOI]

Serafín Alonso Castro

Carlos Javier Del Canto Masa

Sergio García de Prado

Proceedings of the 9th IFAC Symposium Advances in Control Education, 2012

Two-Stage Approach for Electricity Consumption Forecasting in Public Buildings.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Analysis of Electricity Consumption Profiles by Means of Dimensionality Reduction Techniques.

[BibT_eX]

[DOI]

Proceedings of the Engineering Applications of Neural Networks, 2012

2010

Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2010

Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial Processes.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2010

Visualization of Changes in Process Dynamics Using Self-Organizing Maps.

[BibT_eX]

[DOI]

Alberto B. Diez González

Proceedings of the Artificial Neural Networks, 2010

2009

Tool for instruction and learning on variable speed drives through the Internet.

[BibT_eX]

[DOI]

Fernando Briz

Alberto B. Diez

Proceedings of the 10th European Control Conference, 2009

Visualization of MIMO Process Dynamics Using Local Dynamic Modelling with Self Organizing Maps.

[BibT_eX]

[DOI]

Alberto B. Diez

Proceedings of the Engineering Applications of Neural Networks, 2009

2008

Case-Based Reasoning and System Identification for Control Engineering Learning.

[BibT_eX]

[DOI]

Juan José Fuertes-Martínez

Roberto Garcia Valencia

IEEE Trans. Educ., 2008

A new approach to exploratory analysis of system dynamics using SOM. Applications to industrial processes.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2008

2007

Internet-based remote supervision of industrial processes using self-organizing maps.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2007

Modeling of Dynamics Using Process State Projection on the Self Organizing Map.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2007

Visualization of Dynamics Using Local Dynamic Modelling with Self Organizing Maps.

[BibT_eX]

[DOI]

Alberto B. Diez González

Proceedings of the Artificial Neural Networks, 2007

2005

Active learning in control education.

[BibT_eX]

[DOI]

Perfecto Reguera