Indu Kant Deo

According to our database, Indu Kant Deo authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A finite element-inspired hypergraph neural network: Application to fluid dynamics simulations.

Rui Gao, Indu Kant Deo, Rajeev K. Jaiman

J. Comput. Phys., 2024

Continual Learning of Range-Dependent Transmission Loss for Underwater Acoustic using Conditional Convolutional Neural Net.

Indu Kant Deo, Akash Venkateshwaran, Rajeev K. Jaiman

CoRR, 2024

2022

Node-Element Hypergraph Message Passing for Fluid Dynamics Simulations.

Rui Gao, Indu Kant Deo, Rajeev K. Jaiman

CoRR, 2022

Combined space-time reduced-order model with 3D deep convolution for extrapolating fluid dynamics.

Indu Kant Deo, Rui Gao, Rajeev Jaiman

CoRR, 2022

Learning Wave Propagation with Attention-Based Convolutional Recurrent Autoencoder Net.

Indu Kant Deo, Rajeev Jaiman

CoRR, 2022

2019

Design and Implementation of Autonomous Ground Vehicle for Constrained Environments.

G. Rahul Kranti Kiran, Indu Kant Deo, Sanskar Agrawal, Siddhant Haldar, Het Shah, Sohan Rudra, Harsh Maheshwari, Aditya Rathore, Poojan Shah, Ashwin Nehete, Debashish Chakravarty

Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

2018

Off-Road Lane Detection Using Superpixel Clustering and RANSAC Curve Fitting.

Sanskar Agrawal, Indu Kant Deo, Siddhant Haldar, G. Rahul Kranti Kiran, Vaibhav Lodhi, Debashish Chakravarty

Proceedings of the 15th International Conference on Control, 2018