Publicaciones (109) Publicaciones de MIGUEL DAMAS HERMOSO

2023

  1. A Deep Learning Model of Radio Wave Propagation for Precision Agriculture and Sensor System in Greenhouses

    Agronomy, Vol. 13, Núm. 1

  2. A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters

    Computing, Vol. 105, Núm. 11, pp. 2487-2510

  3. Characterisation of Youth Entrepreneurship in Medellín-Colombia Using Machine Learning

    Sustainability (Switzerland), Vol. 15, Núm. 13

  4. Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms

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

  5. FuzzyIoT - Platform for descriptive analysis of sensor data streams

    Proceedings of the Annual Hawaii International Conference on System Sciences

2022

  1. Ant colony optimization for feature selection via a filter-randomized search heuristic

    GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference

  2. Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data

    GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference

  3. Development of a digital factory using automation simulation tools

    15th International Conference of Technology, Learning and Teaching of Electronics, TAEE 2022 - Proceedings

  4. Digitalización de una fábrica en el marco de la Industria 4.0 y el COVID-19

    Libro de actas TAEE 2022 XV Congreso de Tecnología, Aprendizaje y Enseñanza de la Electrónica: Livro de procedimentos TAEE 2022 XV Conferência em Tecnologia, Aprendizagem e Ensino da Eletrónica=Proceedings book TAEE 2022 XV International Conference of Technology, Learning and Teaching of Electronics

2021

  1. 5g mobile phone network introduction in colombia

    Electronics (Switzerland), Vol. 10, Núm. 8

  2. A lexicographic cooperative co-evolutionary approach for feature selection

    Neurocomputing, Vol. 463, pp. 59-76

  3. ATOPE+: An mHealth System to Support Personalized Therapeutic Exercise Interventions in Patients with Cancer

    IEEE Access, Vol. 9, pp. 16878-16898

  4. Energy-Time Profiling for Machine Learning Methods to EEG Classification

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

  5. Opportunistic Activity Recognition in IoT Sensor Ecosystems via Multimodal Transfer Learning

    Neural Processing Letters, Vol. 53, Núm. 5, pp. 3169-3197

  6. Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification

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

  7. Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification

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

2020

  1. A parallel and distributed multi-population GA with asynchronous migrations: Energy-time analysis for heterogeneous systems

    GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion

  2. CoVidAffect, real-time monitoring of mood variations following the COVID-19 outbreak in Spain

    Scientific Data

  3. Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification

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

  4. Deep learning for EEG-based motor imagery classification: Accuracy-cost trade-off

    PLoS ONE, Vol. 15, Núm. 6