Héctor Quintián Pardo-rekin lankidetzan egindako argitalpenak (23)

2021

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

    Advances in Intelligent Systems and Computing

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

    15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020

  3. 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)

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

    Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings

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. Anomaly Detection Over an Ultrasonic Sensor in an Industrial Plant

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

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

    Processes, Vol. 7, Núm. 11

  4. 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)