Publicacións en colaboración con investigadores/as de Chinese Academy of Sciences (5)

2022

  1. 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

  2. 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

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

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

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