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ORCIDArunabha M. Roy
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2020 – today
- 2024
[j13]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
- [j12]Arunabha M. Roy, Jayabrata Bhaduri:
DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism. Adv. Eng. Informatics 56: 102007 (2023) - [j11]Wisal Khan, Teerath Kumar, Cheng Zhang, Kislay Raj, Arunabha M. Roy, Bin Luo:
SQL and NoSQL Database Software Architecture Performance Analysis and Assessments - A Systematic Literature Review. Big Data Cogn. Comput. 7(2): 97 (2023) - [j10]Sonain Jamil, Arunabha M. Roy:
An efficient and robust Phonocardiography (PCG)-based Valvular Heart Diseases (VHD) detection framework using Vision Transformer (ViT). Comput. Biol. Medicine 158: 106734 (2023) - [j9]Arunabha M. Roy, Suman Guha:
A data-driven physics-constrained deep learning computational framework for solving von Mises plasticity. Eng. Appl. Artif. Intell. 122: 106049 (2023) - [j8]Arunabha M. Roy, Jayabrata Bhaduri, Teerath Kumar, Kislay Raj:
WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection. Ecol. Informatics 75: 101919 (2023) - [j7]Aditya Singh, Kislay Raj, Arunabha M. Roy:
Efficient Deep Learning-based Semantic Mapping Approach using Monocular Vision for Resource-Limited Mobile Robots. J. Intell. Robotic Syst. 109(3): 69 (2023) - [j6]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) - [i7]Aditya Singh, Ramin Ranjbarzadeh, Kislay Raj, Teerath Kumar, Arunabha M. Roy:
Understanding EEG signals for subject-wise Definition of Armoni Activities. CoRR abs/2301.00948 (2023) - [i6]Arunabha M. Roy, Rikhi Bose:
Physics-aware deep learning framework for linear elasticity. CoRR abs/2302.09668 (2023) - [i5]Arunabha M. Roy, Jayabrata Bhaduri:
A Computer Vision Enabled damage detection model with improved YOLOv5 based on Transformer Prediction Head. CoRR abs/2303.04275 (2023) - [i4]Rikhi Bose, Arunabha M. Roy:
Accurate deep learning sub-grid scale models for large eddy simulations. CoRR abs/2307.10060 (2023) - 2022
- [j5]Arunabha M. Roy:
An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces. Biomed. Signal Process. Control. 74: 103496 (2022) - [j4]Arunabha M. Roy, Jayabrata Bhaduri:
Real-time growth stage detection model for high degree of occultation using DenseNet-fused YOLOv4. Comput. Electron. Agric. 193: 106694 (2022) - [j3]Arunabha M. Roy:
Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain-computer interface. Eng. Appl. Artif. Intell. 116: 105347 (2022) - [j2]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) - [j1]Wisal Khan, Kislay Raj, Teerath Kumar, Arunabha M. Roy, Bin Luo:
Introducing Urdu Digits Dataset with Demonstration of an Efficient and Robust Noisy Decoder-Based Pseudo Example Generator. Symmetry 14(10): 1976 (2022) - [i3]Wisal Khan, Teerath Kumar, Zhang Cheng, Kislay Raj, Arunabha M. Roy, Bin Luo:
SQL and NoSQL Databases Software architectures performance analysis and assessments - A Systematic Literature review. CoRR abs/2209.06977 (2022) - [i2]Aisha Chandio, Gong Gui, Teerath Kumar, Irfan Ullah, Ramin Ranjbarzadeh, Arunabha M. Roy, Akhtar Hussain, Yao Shen:
Precise Single-stage Detector. CoRR abs/2210.04252 (2022) - 2021
- [i1]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)
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