activity
20212023
most citedPrecise Single-stage Detector

27 citations · 86 across the 8 of their papers we have counts for

collaborators

8 papers

physics.flu-dyn2023★ 10 cited

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

Rikhi Bose, Arunabha M. Roy

We present two families of sub-grid scale (SGS) turbulence models developed for large-eddy simulation (LES) purposes. Their development required the formulation of physics-informed…

cs.CV2023★ 22 cited

A Computer Vision Enabled damage detection model with improved YOLOv5 based on Transformer Prediction Head

Arunabha M. Roy, Jayabrata Bhaduri

Objective:Computer vision-based up-to-date accurate damage classification and localization are of decisive importance for infrastructure monitoring, safety, and the serviceability…

cs.LG2023★ 9 cited

Physics-aware deep learning framework for linear elasticity

Arunabha M. Roy, Rikhi Bose

The paper presents an efficient and robust data-driven deep learning (DL) computational framework developed for linear continuum elasticity problems. The methodology is based on th…

eess.SP2023★ 7 cited

Understanding EEG signals for subject-wise Definition of Armoni Activities

Kislay Raj, Aditya Singh, Abhishek Mandal +2

In a growing world of technology, psychological disorders became a challenge to be solved. The methods used for cognitive stimulation are very conventional and based on one-way com…

cs.CV2022★ 27 cited

Precise Single-stage Detector

Aisha Chandio, Gong Gui, Teerath Kumar +5

There are still two problems in SDD causing some inaccurate results: (1) In the process of feature extraction, with the layer-by-layer acquisition of semantic information, local in…

physics.app-ph2022★ 9 cited

Factors that control stability, variability, and reliability issues of endurance cycle in ReRAM devices: a phase field study

Arijit Roy, Min-Gyu Cho, Pil-Ryung Cha

The morphological evolution of the conducting filament (CF) predominantly controls the electric response of the resistive random access memory (ReRAM) devices. However, the paramet…

cs.CV2021★ 2 cited

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

Arunabha M. Roy, Rikhi Bose, Jayabrata Bhaduri

Early identification and prevention of various plant diseases in commercial farms and orchards is a key feature of precision agriculture technology. This paper presents a high-perf…

physics.app-ph2021

Magnetic Field Dependent Piezoelectricity in Atomically Thin CoTe

Solomon Demiss, Alexey Karstev, Mithun Palit +7

Two dimensional (2D) materials have received a surge in research interest due to their exciting range of properties. Here we show that 2D cobalt telluride (Co2Te3), successfully sy…