Serafín Alonso Castro

Orcid: 0000-0003-3467-4938

According to our database1, Serafín Alonso Castro authored at least 35 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
An Approach to Develop Digital Twins in Industry.
Sensors, February, 2024

Gap imputation in related multivariate time series through recurrent neural network-based denoising autoencoder.
Integr. Comput. Aided Eng., 2024

Machine Learning Modeling in Industrial Processes for Visual Analysis.
Proceedings of the Engineering Applications of Neural Networks, 2024

2023
Guidelines to develop demonstration models on industry 4.0 for engineering training.
Int. J. Comput. Integr. Manuf., October, 2023

Virtual Flow Meter for an Industrial Process.
Proceedings of the Engineering Applications of Neural Networks, 2023

Hierarchical Prediction in Incomplete Submetering Systems Using a CNN.
Proceedings of the Engineering Applications of Neural Networks, 2023

2022
Reconstructing Electricity Profiles in Submetering Systems Using a GRU-AE Network.
Proceedings of the Engineering Applications of Neural Networks, 2022

2021
Virtual sensor for probabilistic estimation of the evaporation in cooling towers.
Integr. Comput. Aided Eng., 2021

Evaluation of feature learning for anomaly detection in network traffic.
Evol. Syst., 2021

2020
Feature Extraction from Building Submetering Networks Using Deep Learning.
Sensors, 2020

Estimating cooling production and monitoring efficiency in chillers using a soft sensor.
Neural Comput. Appl., 2020

Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network.
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.
Sensors, 2019

Comparison of Network Intrusion Detection Performance Using Feature Representation.
Proceedings of the Engineering Applications of Neural Networks, 2019

Virtual Sensor Based on a Deep Learning Approach for Estimating Efficiency in Chillers.
Proceedings of the Engineering Applications of Neural Networks, 2019

2017
Comparative analysis of the security of configuration protocols for industrial control devices.
Int. J. Crit. Infrastructure Prot., 2017

Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders.
Proceedings of the Engineering Applications of Neural Networks, 2017

2015
Dimensionality reduction techniques to analyze heating systems in buildings.
Inf. Sci., 2015

Challenges and solutions in remote laboratories. Application to a remote laboratory of an electro-pneumatic classification cell.
Comput. Educ., 2015

Analysis of Electricity Bill Data using Interactive Dimensionality Reduction.
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.
Comput. Appl. Eng. Educ., 2014

2013
Analysis of electricity bills using visual continuous maps.
Neural Comput. Appl., 2013

Visualization maps based on SOM to analyze MIMO systems.
Neural Comput. Appl., 2013

Analysis of electricity consumption profiles in public buildings with dimensionality reduction techniques.
Eng. Appl. Artif. Intell., 2013

Education on Automatic Control for Professionals through the LRA-ULE Remote Laboratory.
Proceedings of the 10th IFAC Symposium on Advances in Control Education, 2013

Analysis of Heating Systems in Buildings Using Self-Organizing Maps.
Proceedings of the Engineering Applications of Neural Networks, 2013

2012
Monitoring industrial processes with SOM-based dissimilarity maps.
Expert Syst. Appl., 2012

Virtual and Remote Laboratory of a DC Motor.
Proceedings of the 9th IFAC Symposium Advances in Control Education, 2012

Improving User Interaction in Remote Laboratories through HTML5/AJAX.
Proceedings of the 9th IFAC Symposium Advances in Control Education, 2012

Two-Stage Approach for Electricity Consumption Forecasting in Public Buildings.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Analysis of Electricity Consumption Profiles by Means of Dimensionality Reduction Techniques.
Proceedings of the Engineering Applications of Neural Networks, 2012

2011
EnvSOM: A SOM Algorithm Conditioned on the Environment for Clustering and Visualization.
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

Comparative Analysis of Power Consumption in University Buildings Using envSOM.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

2010
Application of SOM-Based Visualization Maps for Time-Response Analysis of Industrial Processes.
Proceedings of the Artificial Neural Networks, 2010

2009
Tool for instruction and learning on variable speed drives through the Internet.
Proceedings of the 10th European Control Conference, 2009


  Loading...