Publicaciones en colaboración con investigadoras/es de Universidad Politécnica de Madrid (74)

2023

  1. A Ground Fault Detection Method for Double Fed Induction Machines

    Proceedings of the 2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2023

  2. A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges

    Journal of Ambient Intelligence and Humanized Computing, Vol. 14, Núm. 8, pp. 9869-9905

  3. Deep learning for understanding multilabel imbalanced Chest X-ray datasets

    Future Generation Computer Systems, Vol. 144, pp. 291-306

  4. The diverse meteorology of Jezero crater over the first 250 sols of Perseverance on Mars

    Nature Geoscience, Vol. 16, Núm. 1, pp. 19-28

2021

  1. Adaptive Dendritic Cell-Deep Learning Approach for Industrial Prognosis under Changing Conditions

    IEEE Transactions on Industrial Informatics, Vol. 17, Núm. 11, pp. 7760-7770

  2. Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions

    Neural Computing and Applications

  3. Fostering DER integration in the electricity markets

    Distributed Energy Resources in Local Integrated Energy Systems: Optimal Operation and Planning (Elsevier), pp. 175-205

  4. Gender and STEAM as part of the MOOC STEAM4ALL

    IEEE Global Engineering Education Conference, EDUCON

  5. The Mars Environmental Dynamics Analyzer, MEDA. A Suite of Environmental Sensors for the Mars 2020 Mission

    Space Science Reviews, Vol. 217, Núm. 3

  6. Tools for embedding and assessing sustainable development goals in engineering education

    Sustainability (Switzerland), Vol. 13, Núm. 21

2020

  1. A robust cyberattack detection approach using optimal features of SCADA power systems in smart grids

    Applied Soft Computing Journal, Vol. 96

  2. Advanced mobility communication

    ICT for Electric Vehicle Integration with the Smart Grid (Institution of Engineering and Technology), pp. 1-36