ENRIQUE
HERRERA VIEDMA
CATEDRÁTICO DE UNIVERSIDAD
University of Macau
Macao, MacaoPublicaciones en colaboración con investigadores/as de University of Macau (9)
2022
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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
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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
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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
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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
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A Dynamic Adaptive Subgroup-to-Subgroup Compatibility-Based Conflict Detection and Resolution Model for Multicriteria Large-Scale Group Decision Making
IEEE Transactions on Cybernetics, Vol. 51, Núm. 10, pp. 4784-4795
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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
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Modelling dynamics of coronavirus disease 2019 spread for pandemic forecasting based on Simulink
Physical Biology, Vol. 18, Núm. 4
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Systems Science and Engineering Research in the Context of Systems, Man, and Cybernetics: Recollection, Trends, and Future Directions
IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 51, Núm. 1, pp. 5-21
2020
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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