activity
20202022
most citedPredicting the spread of COVID-19 in Delhi, India using Deep Residual Recurrent Neural Networks

2 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022

Use of BNNM for interference wave solutions of the gBS-like equation and comparison with PINNs

Shashank Reddy Vadyala, Sai Nethra Betgeri

In this work, the generalized broken soliton-like (gBS-like) equation is derived through the generalized bilinear method. The neural network model, which can fit the explicit solut…

cs.LG20222 cited

Wastewater Pipe Condition Rating Model Using K- Nearest Neighbors

Sai Nethra Betgeri, Shashank Reddy Vadyala, John C. Matthews +2

Risk-based assessment in pipe condition mainly focuses on prioritizing the most critical assets by evaluating the risk of pipe failure. This paper's goal is to classify a comprehen…

cs.LG20212 cited

Predicting the spread of COVID-19 in Delhi, India using Deep Residual Recurrent Neural Networks

Shashank Reddy Vadyala, Sai Nethra Betgeri

Detecting the spread of coronavirus will go a long way toward reducing human and economic loss. Unfortunately, existing Epidemiological models used for COVID 19 prediction models a…

physics.comp-ph20211 cited

Physics-Informed Neural Network Method for Solving One-Dimensional Advection Equation Using PyTorch

Shashank Reddy Vadyala, Sai Nethra Betgeri

Numerical solutions to the equation for advection are determined using different finite-difference approximations and physics-informed neural networks (PINNs) under conditions that…

q-bio.PE20201 cited

Prediction of the Number of COVID-19 Confirmed Cases Based on K-Means-LSTM

Shashank Reddy Vadyala, Sai Nethra Betgeri, Eric A. Sherer +1

COVID-19 is a pandemic disease that began to rapidly spread in the US with the first case detected on January 19, 2020, in Washington State. March 9, 2020, and then increased rapid…