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2020 – today
- 2024
[j5]Rikhi Bose
, Arunabha M. Roy:
Invariance embedded physics-infused deep neural network-based sub-grid scale models for turbulent flows. Eng. Appl. Artif. Intell. 128: 107483 (2024)- 2023
- [j4]Arunabha M. Roy, Rikhi Bose, Veera Sundararaghavan, Raymundo Arróyave:
Deep learning-accelerated computational framework based on Physics Informed Neural Network for the solution of linear elasticity. Neural Networks 162: 472-489 (2023) - [i5]Arunabha M. Roy, Rikhi Bose:
Physics-aware deep learning framework for linear elasticity. CoRR abs/2302.09668 (2023) - [i4]Rikhi Bose, Arunabha M. Roy:
Accurate deep learning sub-grid scale models for large eddy simulations. CoRR abs/2307.10060 (2023) - 2022
- [j3]Arunabha M. Roy, Rikhi Bose, Jayabrata Bhaduri:
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network. Neural Comput. Appl. 34(5): 3895-3921 (2022) - [j2]Rikhi Bose, Adam L. Pintar, Emil Simiu:
A real time prediction methodology for hurricane evolution using LSTM recurrent neural networks. Neural Comput. Appl. 34(20): 17491-17505 (2022) - [i3]Rikhi Bose, Adam L. Pintar, Emil Simiu:
Simulation of Atlantic Hurricane Tracks and Features: A Deep Learning Approach. CoRR abs/2209.06901 (2022) - 2021
- [i2]Arunabha M. Roy, Rikhi Bose, Jayabrata Bhaduri:
A fast accurate fine-grain object detection model based on YOLOv4 deep neural network. CoRR abs/2111.00298 (2021) - [i1]Rikhi Bose, Adam L. Pintar, Emil Simiu:
Data-Based Models for Hurricane Evolution Prediction: A Deep Learning Approach. CoRR abs/2111.12683 (2021)
2010 – 2019
- 2015
- [j1]Rikhi Bose, Tapan K. Sengupta:
Analysis and Design of a New Dispersion Relation Preserving Alternate Direction Bidiagonal Compact Scheme. J. Sci. Comput. 64(1): 55-82 (2015)
Coauthor Index
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