Argitalpenak (40) JOSE DAVID NUÑEZ GONZALEZ argitalpenak

2024

  1. A Simulation on Graph-based Learning for Energy Generation-consumption Prediction in Energy Communities

    Modelling and Simulation 2024 - 38th Annual European Simulation and Modelling Conference 2024, ESM 2024

  2. Brainstorming on Green AI Approach by Dimensionality Reduction for Sea Waves Height Prediction

    Modelling and Simulation 2024 - 38th Annual European Simulation and Modelling Conference 2024, ESM 2024

  3. Brainstorming on Dataset Reduction from an Heuristic Bioinspired Green Computing Approach

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

  4. FFT BASED ANOMALY DETECTION IN RAILWAY SYSTEMS

    Modelling and Simulation 2024 - 38th Annual European Simulation and Modelling Conference 2024, ESM 2024

  5. OPTIMIZING PREDICTIVE PERFORMANCE THROUGH MACHINE LEARNING ALGORITHM SELECTION AND HYPERPARAMETER TUNING

    Modelling and Simulation 2024 - 38th Annual European Simulation and Modelling Conference 2024, ESM 2024

  6. Predicting Power Generation from Photovoltaic Energy System

    Lecture Notes in Networks and Systems

  7. Reduction of Vision-Based Models for Fall Detection

    Sensors, Vol. 24, Núm. 22

  8. Task Offloading in Edge Computing Using GNNs and DQN

    CMES - Computer Modeling in Engineering and Sciences, Vol. 139, Núm. 3, pp. 2649-2671

2023

  1. Comprehensive Analysis of Different Techniques for Data Augmentation and Proposal of New Variants of BOSME and GAN

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

  2. Development of AI-Based Tools for Power Generation Prediction

    Computation, Vol. 11, Núm. 11

  3. First Steps Predicting Execution of Civil Works from Georeferenced Infrastructure Data

    Lecture Notes in Networks and Systems

  4. SLRProp: A Back-Propagation Variant of Sparse Low Rank Method for DNNs Reduction

    Sensors, Vol. 23, Núm. 5

2022

  1. Bayesian network-based over-sampling method (BOSME) with application to indirect cost-sensitive learning

    Scientific Reports, Vol. 12, Núm. 1

  2. Biogas obtaining from wastes generated in university campuses: practical case study based on transdisciplinary learning

    ICERI2022 Proceedings

  3. Graph Based Learning for Building Prediction in Smart Cities

    IEEE Access, Vol. 10, pp. 45471-45484

  4. Reviewing and Discussing Graph Reduction in Edge Computing Context

    Computation, Vol. 10, Núm. 9

2021

  1. A Review of Possible EEG Markers of Abstraction, Attentiveness, and Memorisation in Cyber-Physical Systems for Special Education

    Frontiers in Robotics and AI, Vol. 8

  2. Corrigendum: A Review of Possible EEG Markers of Abstraction, Attentiveness and Memorisation in Cyber-Physical Systems for Special Education, (Front. Robot. AI, (2021), 8, (715962), 10.3389/frobt.2021.715962)

    Frontiers in Robotics and AI

  3. Erratum: Enhancing Confusion Entropy (CEN) for binary and multiclass classification (PLoS ONE (2019) 14:1 (e0210264) DOI: 10.1371/journal.pone.0210264)

    PLoS ONE

  4. Introducing Active Methodologies in Renewable Energy Engineering Bachelor in Mathematical and Numerical Analysis Subject

    The 11th International Conference on EUropean Transnational Educational: (ICEUTE 2020)