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06/23/2023
Solving a class of multi-scale elliptic PDEs by means of Fourier-based mixed physics informed neural networks
Deep neural networks have received widespread attention due to their sim...
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06/22/2023
Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions
Deep learning methods have gained considerable interest in the numerical...
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03/10/2021
Spatio-temporal quantile regression analysis revealing more nuanced patterns of climate change: a study of long-term daily temperature in Australia
Climate change is commonly associated with an overall increase in mean t...
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11/12/2020
Robust approach for variable selection with high dimensional Logitudinal data analysis
This paper proposes a new robust smooth-threshold estimating equation to...
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07/15/2020
Predication of Inflection Point and Outbreak Size of COVID-19 in New Epicentres
The coronavirus disease 2019 (COVID-19) had caused more that 8 million i...
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03/09/2020
An efficient Gehan-type estimation for the accelerated failure time model with clustered and censored data
In medical studies, the collected covariates usually contain underlying ...
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03/09/2020