Rikhi Bose

According to our database, Rikhi Bose authored at least 8 papers between 2015 and 2023.

Collaborative distances:

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

2023

Deep learning-accelerated computational framework based on Physics Informed Neural Network for the solution of linear elasticity.

Arunabha M. Roy, Rikhi Bose, Veera Sundararaghavan, Raymundo Arróyave

Neural Networks, May, 2023

Accurate deep learning sub-grid scale models for large eddy simulations.

Rikhi Bose, Arunabha M. Roy

CoRR, 2023

Physics-aware deep learning framework for linear elasticity.

Arunabha M. Roy, Rikhi Bose

CoRR, 2023

2022

A fast accurate fine-grain object detection model based on YOLOv4 deep neural network.

Arunabha M. Roy, Rikhi Bose, Jayabrata Bhaduri

Neural Comput. Appl., 2022

A real time prediction methodology for hurricane evolution using LSTM recurrent neural networks.

Rikhi Bose, Adam L. Pintar, Emil Simiu

Neural Comput. Appl., 2022

Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning Approach.

Rikhi Bose, Adam L. Pintar, Emil Simiu

CoRR, 2022

2021

Data-Based Models for Hurricane Evolution Prediction: A Deep Learning Approach.

Rikhi Bose, Adam L. Pintar, Emil Simiu

CoRR, 2021

2015

Analysis and Design of a New Dispersion Relation Preserving Alternate Direction Bidiagonal Compact Scheme.

Rikhi Bose, Tapan K. Sengupta

J. Sci. Comput., 2015