Publicacións en colaboración con investigadores/as de Universidad Internacional de La Rioja (53)

2023

  1. A non-linear multi-objective technique for hybrid peer-to-peer communication

    Information Sciences, Vol. 629, pp. 413-439

  2. DisastDrone: A Disaster Aware Consumer Internet of Drone Things System in Ultra-Low Latent 6G Network

    IEEE Transactions on Consumer Electronics, Vol. 69, Núm. 1, pp. 38-48

  3. Social IoT Approach to Cyber Defense of a Deep-Learning-Based Recognition System in front of Media Clones Generated by Model Inversion Attack

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 53, Núm. 5, pp. 2694-2704

2022

  1. Analysis of the COVID19 Pandemic Behaviour Based on the Compartmental SEAIRD and Adaptive SVEAIRD Epidemiologic Models

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 17-64

  2. Automatic detection of lung nodule in CT scan slices using CNN segmentation schemes: A study

    Procedia Computer Science

  3. Classification of Breast Thermal Images into Healthy/Cancer Group Using Pre-Trained Deep Learning Schemes

    Procedia Computer Science

  4. Customer churn prediction for web browsers

    Expert Systems with Applications, Vol. 209

  5. Deep and handcrafted feature supported diabetic retinopathy detection: A study

    Procedia Computer Science

  6. Probabilistic Forecasting Model for the COVID-19 Pandemic Based on the Composite Monte Carlo Model Integrated with Deep Learning and Fuzzy System

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 83-102

  7. The Application of Supervised and Unsupervised Computational Predictive Models to Simulate the COVID19 Pandemic

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 103-139

  8. The Comparison of Different Linear and Nonlinear Models Using Preliminary Data to Efficiently Analyze the COVID-19 Outbreak

    Epidemic Analytics for Decision Supports in COVID19 Crisis (Springer International Publishing), pp. 65-81

2021

  1. A Granular Computing Based Approach for Improving the Consistency of Intuitionistic Reciprocal Preference Relations

    Studies in Fuzziness and Soft Computing (Springer), pp. 457-469

  2. A new SEAIRD pandemic prediction model with clinical and epidemiological data analysis on COVID-19 outbreak

    Applied Intelligence, Vol. 51, Núm. 7, pp. 4162-4198

  3. Alzheimer's Patient Analysis Using Image and Gene Expression Data and Explainable-AI to Present Associated Genes

    IEEE Transactions on Instrumentation and Measurement, Vol. 70

  4. Enhancing big data feature selection using a hybrid correlation-based feature selection

    Electronics (Switzerland), Vol. 10, Núm. 23

  5. Modelling dynamics of coronavirus disease 2019 spread for pandemic forecasting based on Simulink

    Physical Biology, Vol. 18, Núm. 4

  6. Multilayer Framework for Botnet Detection Using Machine Learning Algorithms

    IEEE Access, Vol. 9, pp. 48753-48768

2020

  1. Composite Monte Carlo decision making under high uncertainty of novel coronavirus epidemic using hybridized deep learning and fuzzy rule induction

    Applied Soft Computing Journal, Vol. 93

  2. Fast single image haze removal method for inhomogeneous environment using variable scattering coefficient

    CMES - Computer Modeling in Engineering and Sciences, Vol. 123, Núm. 3, pp. 1175-1192

  3. Fuzzy logic expert system for selecting robotic hands using kinematic parameters

    Journal of Ambient Intelligence and Humanized Computing, Vol. 11, Núm. 4, pp. 1553-1564