Predicting waves in fluids with deep neural network IK Deo, R Jaiman Physics of Fluids 34 (6), 067108, 2022 | 30* | 2022 |
Combined space–time reduced-order model with three-dimensional deep convolution for extrapolating fluid dynamics IK Deo, R Gao, R Jaiman Physics of Fluids 35 (4), 2023 | 7 | 2023 |
Off-Road Lane Detection Using Superpixel Clustering and RANSAC Curve Fitting S Agrawal, IK Deo, S Haldar, GRK Kiran, V Lodhi, D Chakravarty 2018 15th International Conference on Control, Automation, Robotics and …, 2018 | 7 | 2018 |
A finite element-inspired hypergraph neural network: Application to fluid dynamics simulations R Gao, IK Deo, RK Jaiman Journal of Computational Physics, 112866, 2024 | 6* | 2024 |
Design and Implementation of Autonomous Ground Vehicle for Constrained Environments GRK Kiran, IK Deo, S Agrawal, S Haldar, H Shah, S Rudra, H Maheshwari, ... 2019 Third IEEE International Conference on Robotic Computing (IRC), 236-239, 2019 | 2 | 2019 |
Continual Learning of Range-Dependent Transmission Loss for Underwater Acoustic using Conditional Convolutional Neural Net IK Deo, A Venkateshwaran, RK Jaiman arXiv preprint arXiv:2404.08091, 2024 | | 2024 |
A multi-objective optimization framework for reducing the impact of ship noise on marine mammals A Venkateshwaran, IK Deo, J Jelovica, RK Jaiman arXiv preprint arXiv:2402.02647, 2024 | | 2024 |
Extrapolating fluid dynamics with spatiotemporal convolution networks IK Deo, R Gao, R Jaiman Bulletin of the American Physical Society 67, 2022 | | 2022 |
Attention-based Convolutional Recurrent Autoencoder for Learning Wave Propagation IK Deo, R Jaiman APS Division of Fluid Dynamics Meeting Abstracts, Q31. 007, 2021 | | 2021 |
Node-element hypergraph message passing for mesh-based simulations R Gao, IK Deo | | |