Publicacións nas que colabora con Juan Albino Méndez Pérez (45)

2023

  1. Daily Accumulative Photovoltaic Energy Prediction Using Hybrid Intelligent Model

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

2022

  1. A distributed topology for identifying anomalies in an industrial environment

    Neural Computing and Applications, Vol. 34, Núm. 23, pp. 20463-20476

  2. One-Class-Based Intelligent Classifier for Detecting Anomalous Situations During the Anesthetic Process

    Logic Journal of the IGPL, Vol. 30, Núm. 2, pp. 326-341

2021

  1. A comparative study to detect flowmeter deviations using one-class classifiers

    Advances in Intelligent Systems and Computing

  2. A hybrid intelligent classifier for anomaly detection

    Neurocomputing, Vol. 452, pp. 498-507

  3. A new method for anomaly detection based on non-convex boundaries with random two-dimensional projections

    Information Fusion, Vol. 65, pp. 50-57

  4. An intelligent system for harmonic distortions detection in wind generator power electronic devices

    Neurocomputing, Vol. 456, pp. 609-621

  5. Anomaly detection based on one-class intelligent techniques over a control level plant

    Logic Journal of the IGPL, Vol. 28, Núm. 4, pp. 502-518

  6. Hybrid Intelligent Model to Predict the Remifentanil Infusion Rate in Patients under General Anesthesia

    Logic Journal of the IGPL, Vol. 29, Núm. 2, pp. 193-206

  7. Machine learning techniques for computer-based decision systems in the operating theatre: application to analgesia delivery

    Logic Journal of the IGPL, Vol. 29, Núm. 2, pp. 236-250

2020

  1. A Hybrid One-Class Topology for Non-convex Sets

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

  2. A global classifier implementation for detecting anomalies by using one-class techniques over a laboratory plant

    Advances in Intelligent Systems and Computing

  3. Adaptive drug interaction model to predict depth of anesthesia in the operating room

    Biomedical Signal Processing and Control, Vol. 59

  4. Anomaly Detection on Patients Undergoing General Anesthesia

    Advances in Intelligent Systems and Computing

  5. Comparative Study of One-Class Based Anomaly Detection Techniques for a Bicomponent Mixing Machine Monitoring

    Cybernetics and Systems, Vol. 51, Núm. 7, pp. 649-667

  6. Detección de anomalías basada en técnicas inteligentes de una planta de obtención de material bicomponente empleado en la fabricación de palas de aerogenerador

    Revista iberoamericana de automática e informática industrial ( RIAI ), Vol. 17, Núm. 1, pp. 84-93

  7. Electromyogram prediction during anesthesia by using a hybrid intelligent model

    Journal of Ambient Intelligence and Humanized Computing, Vol. 11, Núm. 11, pp. 4467-4476

  8. Hybrid model for the ANI index prediction using Remifentanil drug and EMG signal

    Neural Computing and Applications, Vol. 32, Núm. 5, pp. 1249-1258

  9. Lithium iron phosphate power cell fault detection system based on hybrid intelligent system

    Logic Journal of the IGPL, Vol. 28, Núm. 1, pp. 71-82

  10. Machine learning based method for the evaluation of the Analgesia Nociception Index in the assessment of general anesthesia

    Computers in Biology and Medicine, Vol. 118