Héctor
Quintián Pardo
Profesor Titular de Universidade
José Luis
Casteleiro Roca
Profesor Titular de Universidade
Publicacións nas que colabora con José Luis Casteleiro Roca (77)
2025
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Identification and Behavior Pattern Recognition of Cows in Intensive and Extensive Farms Using Intelligent Collars and Dimensional Reduction Techniques
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2024
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Beta Hebbian Learning for intrusion detection in networks with MQTT Protocols for IoT devices
Logic Journal of the IGPL, Vol. 32, Núm. 2, pp. 352-365
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Clustering techniques performance comparison for predicting the battery state of charge: A hybrid model approach
Logic Journal of the IGPL, Vol. 32, Núm. 4, pp. 712-728
2023
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3D Virtual Laboratory for Control Engineering Using Blended Learning Methodology
Lecture Notes in Networks and Systems
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A novel method for anomaly detection using beta Hebbian learning and principal component analysis
Logic Journal of the IGPL, Vol. 31, Núm. 2, pp. 390-399
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An Anomaly Detection Approach for Realtime Identification Systems Based on Centroids
Lecture Notes in Networks and Systems
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Clustering Techniques Selection for a Hybrid Regression Model: A Case Study Based on a Solar Thermal System
Cybernetics and Systems, Vol. 54, Núm. 3, pp. 286-305
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Comparative Study of Regression Models Applied to the Prediction of Energy Generated by a Micro Wind Turbine
Lecture Notes in Networks and Systems
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Comparative Study of Wastewater Treatment Plant Feature Selection for COD Prediction
Lecture Notes in Networks and Systems
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Intelligent model for active power prediction of a small wind turbine
Logic Journal of the IGPL, Vol. 31, Núm. 4, pp. 785-803
2022
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A Novel Proposal for Estimating PID Parameters Based on Centroids
Lecture Notes in Electrical Engineering
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A One-class Classifier Based on a Hybrid Topology to Detect Faults in Power Cells
Logic Journal of the IGPL, Vol. 30, Núm. 4, pp. 679-694
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A distributed topology for identifying anomalies in an industrial environment
Neural Computing and Applications, Vol. 34, Núm. 23, pp. 20463-20476
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A hybrid one-class approach for detecting anomalies in industrial systems
Expert Systems, Vol. 39, Núm. 9
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Advanced Visualization of Intrusions in Flows by Means of Beta-Hebbian Learning
Logic Journal of the IGPL, Vol. 30, Núm. 6, pp. 1056-1073
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Creación de laboratorios virtuales para asignaturas de control con Factory I/O® y Simulink®
Servizo de Publicacións
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Experiencia blended learning apoyada en un laboratorio virtual para educación de materias STEM
Bordón: Revista de pedagogía, Vol. 74, Núm. 4, pp. 125-143
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Intelligent Model for Power Cells State of Charge Forecasting in EV
Processes, Vol. 10, Núm. 7
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Intelligent One-Class Classifiers for the Development of an Intrusion Detection System: The MQTT Case Study
Electronics (Switzerland), Vol. 11, Núm. 3
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Intrusion Detection System for MQTT Protocol Based on Intelligent One-Class Classifiers
Lecture Notes in Networks and Systems