Publications by the researcher in collaboration with Héctor Quintián Pardo (21)

2024

  1. 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

  2. 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

  1. 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

  2. Comparative Analysis of Intelligent Techniques for Categorization of the Operational Status of LiFePo4 Batteries

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Denial of Service Attack Detection Based on Feature Extraction and Supervised Techniques

    Lecture Notes in Networks and Systems

  4. Development of an Intelligent Classifier Model for Denial of Service Attack Detection

    IJIMAI, Vol. 8, Núm. 3, pp. 33-42

  5. Machine Learning Based System for Detecting Battery State-of-Health

    Lecture Notes in Networks and Systems

2022

  1. Intelligent One-Class Classifiers for the Development of an Intrusion Detection System: The MQTT Case Study

    Electronics (Switzerland), Vol. 11, Núm. 3

  2. Intrusion Detection System for MQTT Protocol Based on Intelligent One-Class Classifiers

    Lecture Notes in Networks and Systems

  3. Técnicas de clasificación supervisadas para la detección de anomalías en el control de procesos industriales

    XLIII Jornadas de Automática: libro de actas: 7, 8 y 9 de septiembre de 2022, Logroño (La Rioja)

2021

  1. Comparative Analysis of Clustering Techniques for a Hybrid Model Implementation

    Advances in Intelligent Systems and Computing

  2. Hybrid Model to Calculate the State of Charge of a Battery

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2020

  1. A Solar Thermal System Temperature Prediction of a Smart Building for Data Recovery and Security Purposes

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Clustering Techniques Performance Analysis for a Solar Thermal Collector Hybrid Model Implementation

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Hydrogen consumption prediction of a fuel cell based system with a hybrid intelligent approach

    Energy, Vol. 205

2019

  1. Anomaly Detection Over an Ultrasonic Sensor in an Industrial Plant

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Bioinspired hybrid model to predict the hydrogen inlet fuel cell flow change of an energy storage system

    Processes, Vol. 7, Núm. 11

  3. Prediction of Student Performance Through an Intelligent Hybrid Model

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Prediction of Student Performance Through an Intelligent Hybrid Model

    Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings

  5. Sistema híbrido para la predicción del funcionamiento de una celda de combustible basada en hidrógeno, empleada en el almacenamiento de energía

    XL Jornadas de Automática: libro de actas. Ferrol, 4-6 de septiembre de 2019