Rikhi Bose

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

Arunabha M. Roy, Rikhi Bose, Jayabrata Bhaduri · Neural Computing and Applications · 2022 · 304 citations

Image Classification, Convolutional Neural Network, Image Analysis +7

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

Arunabha M. Roy, Rikhi Bose, Veera Sundararaghavan et al. · Neural Networks · 2023 · 84 citations

Nonlinear Elasticity, Engineering, Physic Aware Machine Learning +7

Invariance embedded physics-infused deep neural network-based sub-grid scale models for turbulent flows

Rikhi Bose, Arunabha M. Roy · Engineering Applications of Artificial Intelligence · 2023 · 23 citations · Full text

Galilean Invariance, Convolutional Neural Network, Engineering +16

Helical modes in boundary layer transition

Rikhi Bose, Paul A. Durbin · Physical Review Fluids · 2016 · 11 citations

Ocean Dynamics, Engineering, Fluid Mechanics +16

Direct numerical simulation of transitional mixed convection flows: Viscous and inviscid instability mechanisms

Tapan K. Sengupta, Swagata Bhaumik, Rikhi Bose · Physics of Fluids · 2013 · 10 citations

Numerical Analysis, Engineering, Direct Numerical Simulation +16