papers
Publications (2)
math.DS2023
Physical informed neural networks with soft and hard boundary constraints for solving advection-diffusion equations using Fourier expansions
Xi'an Li, Jiaxin Deng, Jinran Wu +3
Deep learning methods have gained considerable interest in the numerical solution of various partial differential equations (PDEs). One particular focus is physics-informed neural…
cs.CY2024
Integrating behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study
Jin Yuan, Xuelan Qiu, Jinran Wu +3
The interest in predicting online learning performance using ML algorithms has been steadily increasing. We first conducted a scientometric analysis to provide a systematic review…