118 citations · 140 across the 8 of their papers we have counts for
8 papers
Detailed derivation of scale-Space Energy Density Transport Equation for Compressible Inhomogeneous Turbulent Flows
S. Arun, A. Sameen, Balaji Srinivasan +1
Scale-space energy density function, , is defined as the derivative of the two-point velocity correlation. The function E describes the turbulent kinetic…
Abstracting Deep Neural Networks into Concept Graphs for Concept Level Interpretability
Avinash Kori, Parth Natekar, Ganapathy Krishnamurthi +1
The black-box nature of deep learning models prevents them from being completely trusted in domains like biomedicine. Most explainability techniques do not capture the concept-base…
A Generalized Deep Learning Framework for Whole-Slide Image Segmentation and Analysis
Mahendra Khened, Avinash Kori, Haran Rajkumar +2
Histopathology tissue analysis is considered the gold standard in cancer diagnosis and prognosis. Given the large size of these images and the increase in the number of potential c…
Modelling pressure-Hessian from local velocity gradients information in an incompressible turbulent flow field using deep neural networks
Nishant Parashar, Sawan S. Sinha, Balaji Srinivasan
The understanding of the dynamics of the velocity gradients in turbulent flows is critical to understanding various non-linear turbulent processes. The pressure-Hessian and the vis…
Distributed physics informed neural network for data-efficient solution to partial differential equations
Vikas Dwivedi, Nishant Parashar, Balaji Srinivasan
The physics informed neural network (PINN) is evolving as a viable method to solve partial differential equations. In the recent past PINNs have been successfully tested and valida…
Physics Informed Extreme Learning Machine (PIELM) -- A rapid method for the numerical solution of partial differential equations
Vikas Dwivedi, Balaji Srinivasan
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 Netwo…
Enhanced Image Classification With Data Augmentation Using Position Coordinates
Avinash Kori, Ganapathy Krishnamurthi, Balaji Srinivasan
In this paper we propose the use of image pixel position coordinate system to improve image classification accuracy in various applications. Specifically, we hypothesize that the u…
Perturbative solution of Vlasov equation for periodically driven systems
Kushal Shah, Balaji Srinivasan
Statistical systems with time-periodic spatially non-uniform forces are of immense importance in several areas of physics. In this paper, we provide an analytical expression of the…