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Found 5 papers, 2 papers with code
Global versus Local: Evaluating AlexNet Architectures for Tropical Cyclone Intensity Estimation
The first model, trained on the entire dataset, is called the global AlexNet model.
PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation
Generating annotations is laborious and time-consuming for human experts, especially in medical image segmentation.
Numerical Approximation in CFD Problems Using Physics Informed Machine Learning
The prevalent methods cannot solve advection dominant problems.
BIG-bench Machine Learning
Physics-informed machine learning
Distributed physics informed neural network for data-efficient solution to partial differential equations
The physics informed neural network (PINN) is evolving as a viable method to solve partial differential equations.
Physics Informed Extreme Learning Machine (PIELM) -- A rapid method for the numerical solution of partial differential equations
There has been rapid progress recently on the application of deep networks to the solution of partial differential equations, collectively labelled as Physics Informed Neural Networks (PINNs).
