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Found 8 papers, 3 papers with code
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
Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability
Extracting such a graphical representation of the model's behavior on an abstract, higher conceptual level would unravel the learnings of these models and would help us to evaluate the steps taken by the model for predictions.
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
However, the size of images and variability in histopathology tasks makes it a challenge to develop an integrated framework for histopathology image analysis.
Modelling pressure-Hessian from local velocity gradients information in an incompressible turbulent flow field using deep neural networks
The predictions made by the TBNN are tested against two different isotropic turbulence datasets at Reynolds number of 433 (JHTD) and 315 (UP Madrid turbulence database, UPMTD) and channel flow dataset at Reynolds number of 1000 (UT Texas and JHTD).
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).
Enhanced Image Classification With Data Augmentation Using Position Coordinates
In this paper we propose the use of image pixel position coordinate system to improve image classification accuracy in various applications.
