| A review of physics-based machine learning in civil engineering SR Vadyala, SN Betgeri, JC Matthews, E Matthews Results in Engineering 13, 100316, 2022 | 127 | 2022 |
| Prediction of the Number of COVID-19 Confirmed Cases Based on K-Means-LSTM SR Vadyala, SN Betgeri, EA Sherer, A Amritphale Array 11, 100085, 2021 | 93 | 2021 |
| The interference wave and the bright and dark soliton for two integro-differential equation by using BNNM RF Zhang, MC Li, A Cherraf, SR Vadyala Nonlinear Dynamics 111 (9), 8637-8646, 2023 | 72 | 2023 |
| Physics-informed neural network method for solving one-dimensional advection equation using PyTorch SR Vadyala, SN Betgeri, NP Betgeri Array 13, 100110, 2022 | 34 | 2022 |
| Natural language processing accurately categorizes indications, findings and pathology reports from multicenter colonoscopy SR Vadyala, EA Sherer arXiv preprint arXiv:2108.11034, 2021 | 29 | 2021 |
| Wastewater pipe condition rating model using K-nearest neighbors SN Betgeri, SR Vadyala, JC Matthews, M Madadi, G Vladeanu Tunnelling and Underground Space Technology 132, 104921, 2023 | 11 | 2023 |
| Physics-informed neural network method for solving one-dimensional advection equation using PyTorch.‖ Array, vol. 13 SR Vadyala, SN Betgeri, NP Betgeri | 9 | 2022 |
| General implementation of quantum physics-informed neural networks SR Vadyala, SN Betgeri Array 18, 100287, 2023 | 5 | 2023 |
| Demographics and risk factors of pediatric pulmonary hypertension readmissions M Sehgal, A Amritphale, S Vadayla, M Mulekar, M Batra, N Amritphale, ... Cureus 13 (10), 2021 | 5 | 2021 |
| Wastewater pipe rating model using natural language processing SN Betgeri, SR Vadyala, DJC Mattews, DH Lu arXiv preprint arXiv:2202.13871, 2022 | 4 | 2022 |
| Deep learning Applications to classify Cross-Topic Natural Language Texts Based on Their Argumentative Form DK Sharma, NA Jalil, VK Nassa, SR Vadyala, LS Senthamil, ... 2021 2nd International Conference on Smart Electronics and Communication …, 2021 | 3 | 2021 |
| Predicting the spread of COVID-19 in Delhi, India using Deep Residual Recurrent Neural Networks SR Vadyala, SN Betgeri arXiv e-prints, arXiv: 2110.05477, 2021 | 3 | 2021 |
| 486: PEDIATRIC PULMONARY HYPERTENSION READMISSIONS PREDICTION MODEL USING ARTIFICIAL INTELLIGENCE M Sehgal, S Vadyala, A Amritphale Critical Care Medicine 50 (1), 234, 2022 | 1 | 2022 |
| A Pandemic Predictive Model with Convolutional Neural Networks and Deep Reinforcement Learning using Simulated Partial Differential Equations Data. SN Betgeri, SR Vadyala International Journal of Emerging Trends in Science and Technology, 2024 | | 2024 |
| Wastewater pipe defect rating model for pipe maintenance using natural language processing SN Betgeri, SR Vadyala, JC Matthews, H Lu Frontiers in Water 5, 1123313, 2023 | | 2023 |
| Physics-informed neural network method for solving one-dimensional advection equation using PyTorch SR Vadyala, SN Betgeri, NP Betgeri Array 13, 100110, 2022 | | 2022 |
| Physics-informed neural network method for solving one-dimensional advection equation using PyTorch SR Vadyala, SN Betgeri, NP Betgeri Array 13, 100110, 2022 | | 2022 |
| Physics-Informed Neural Network Method for Solving One-Dimensional Advection Equation Using PyTorch S Reddy Vadyala, S Nethra Betgeri arXiv e-prints, arXiv: 2103.09662, 2021 | | 2021 |
| Wastewater Pipe Probability and Consequence of Failure Rating Model for Decision Making SN Betgeri, SR Vadyala, JC Matthews Pipelines 2023, 21-30, 0 | | |
| Results in Engineering SR Vadyala, SN Betgeri, JC Matthews, E Matthews | | |
Sai Nethra BetgeriLouisiana Tech UniversityVerified email at email.latech.edu
