An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces. - Arunabha M. Roy (Biomed. Signal Process. Control., 2022)

Real-time growth stage detection model for high degree of occultation using DenseNet-fused YOLOv4. - Arunabha M. Roy; Jayabrata Bhaduri (Comput. Electron. Agric., 2022)

SQL and NoSQL Databases Software architectures performance analysis and assessments - A Systematic Literature review. - Wisal Khan; Teerath Kumar; Zhang Cheng; Kislay Raj; Arunabha M. Roy; Bin Luo 001 (CoRR, 2022)

Precise Single-stage Detector. - Aisha Chandio; Gong Gui; Teerath Kumar; Irfan Ullah; Ramin Ranjbarzadeh; Arunabha M. Roy; Akhtar Hussain; Yao Shen (CoRR, 2022)

Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain-computer interface. - Arunabha M. Roy (Eng. Appl. Artif. Intell., 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)

Introducing Urdu Digits Dataset with Demonstration of an Efficient and Robust Noisy Decoder-Based Pseudo Example Generator. - Wisal Khan; Kislay Raj; Teerath Kumar; Arunabha M. Roy; Bin Luo 001 (Symmetry, 2022)

SQL and NoSQL Database Software Architecture Performance Analysis and Assessments - A Systematic Literature Review. - Wisal Khan; Teerath Kumar; Cheng Zhang 010; Kislay Raj; Arunabha M. Roy; Bin Luo 001 (Big Data Cogn. Comput., 2023)

Understanding EEG signals for subject-wise Definition of Armoni Activities. - Aditya Singh; Ramin Ranjbarzadeh; Kislay Raj; Teerath Kumar; Arunabha M. Roy (CoRR, 2023)

Physics-aware deep learning framework for linear elasticity. - Arunabha M. Roy; Rikhi Bose (CoRR, 2023)

A Computer Vision Enabled damage detection model with improved YOLOv5 based on Transformer Prediction Head. - Arunabha M. Roy; Jayabrata Bhaduri (CoRR, 2023)

Accurate deep learning sub-grid scale models for large eddy simulations. - Rikhi Bose; Arunabha M. Roy (CoRR, 2023)

A data-driven physics-constrained deep learning computational framework for solving von Mises plasticity. - Arunabha M. Roy; Suman Guha (Eng. Appl. Artif. Intell., 2023)

DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism. - Arunabha M. Roy; Jayabrata Bhaduri (Adv. Eng. Informatics, 2023)

An efficient and robust Phonocardiography (PCG)-based Valvular Heart Diseases (VHD) detection framework using Vision Transformer (ViT). - Sonain Jamil; Arunabha M. Roy (Comput. Biol. Medicine, 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, 2023)

WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection. - Arunabha M. Roy; Jayabrata Bhaduri; Teerath Kumar; Kislay Raj (Ecol. Informatics, 2023)

Efficient Deep Learning-based Semantic Mapping Approach using Monocular Vision for Resource-Limited Mobile Robots. - Aditya Singh; Kislay Raj; Arunabha M. Roy (J. Intell. Robotic Syst., 2023)

Invariance embedded physics-infused deep neural network-based sub-grid scale models for turbulent flows. - Rikhi Bose; Arunabha M. Roy (Eng. Appl. Artif. Intell., 2024)

Corrigendum to "An efficient and robust Phonocardiography (PCG)-based Valvular Heart Diseases (VHD) detection framework using Vision Transformer (ViT)" [Comput. Biol. Med. 158 (2023) 106734]. - Sonain Jamil; Arunabha M. Roy (Comput. Biol. Medicine, 2025)