Publicaciones en colaboración con investigadores/as de Universidad Politécnica de Madrid (82)

2023

  1. A Novel Attack on Complex APUFs Using the Evolutionary Deep Convolutional Neural Network

    Intelligent Automation and Soft Computing, Vol. 37, Núm. 3, pp. 3059-3081

  2. A Novel Hybrid Artificial Bee Colony-Based Deep Convolutional Neural Network to Improve the Detection Performance of Backscatter Communication Systems

    Electronics (Switzerland), Vol. 12, Núm. 10

  3. A Novel Multi-Objective Binary Chimp Optimization Algorithm for Optimal Feature Selection: Application of Deep-Learning-Based Approaches for SAR Image Classification

    Sensors, Vol. 23, Núm. 3

  4. An efficient authentication protocol for smart grid communication based on on-chip-error-correcting physical unclonable function

    Sustainable Energy, Grids and Networks, Vol. 36

  5. Chaotic Time-Series Prediction using Intelligent Methods

    Iranian Journal of Electrical and Electronic Engineering, Vol. 19, Núm. 2

  6. MCRO-PUF: A Novel Modified Crossover RO-PUF with an Ultra-Expanded CRP Space

    Computers, Materials and Continua, Vol. 74, Núm. 3, pp. 4831-4845

  7. Optimal Band Selection Using Evolutionary Machine Learning to Improve the Accuracy of Hyper-spectral Images Classification: a Novel Migration-Based Particle Swarm Optimization

    Journal of Classification, Vol. 40, Núm. 3, pp. 552-587

  8. Optimizing Long Short-Term Memory Network for Air Pollution Prediction Using a Novel Binary Chimp Optimization Algorithm

    Electronics (Switzerland), Vol. 12, Núm. 18

  9. Predicting PM10 Concentrations Using Evolutionary Deep Neural Network and Satellite-Derived Aerosol Optical Depth

    Mathematics, Vol. 11, Núm. 19

  10. Processing semantic IoT data using a prosumer approach for simulating scenarios on ambient intelligence environments

    Journal of Ambient Intelligence and Humanized Computing, Vol. 14, Núm. 1, pp. 75-86

  11. TDMBBO: a novel three-dimensional migration model of biogeography-based optimization (case study: facility planning and benchmark problems)

    Journal of Supercomputing, Vol. 79, Núm. 9, pp. 9715-9770