Rikhi Bose

Orcid: 0000-0002-4834-2814

According to our database1, Rikhi Bose authored at least 9 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Invariance embedded physics-infused deep neural network-based sub-grid scale models for turbulent flows.
Eng. Appl. Artif. Intell., 2024

2023
Deep learning-accelerated computational framework based on Physics Informed Neural Network for the solution of linear elasticity.
Neural Networks, May, 2023

Accurate deep learning sub-grid scale models for large eddy simulations.
CoRR, 2023

Physics-aware deep learning framework for linear elasticity.
CoRR, 2023

2022
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network.
Neural Comput. Appl., 2022

A real time prediction methodology for hurricane evolution using LSTM recurrent neural networks.
Neural Comput. Appl., 2022

Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning Approach.
CoRR, 2022

2021
Data-Based Models for Hurricane Evolution Prediction: A Deep Learning Approach.
CoRR, 2021

2015
Analysis and Design of a New Dispersion Relation Preserving Alternate Direction Bidiagonal Compact Scheme.
J. Sci. Comput., 2015


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