| A fast accurate fine-grain object detection model based on YOLOv4 deep neural network AM Roy, R Bose, J Bhaduri Neural Computing and Applications, 1-27, 2022 | 204 | 2022 |
| A fast accurate fine-grain object detection model AM Roy, R Bose, J Bhaduri arXiv preprint arXiv:2111.00298, 2022 | 204* | 2022 |
| Multiple twinning and variant-variant transformations in martensite: Phase-field approach VI Levitas, AM Roy, DL Preston Physical Review B 88 (054113), 8, 2013 | 138 | 2013 |
| Multiple phase field theory for temperature- and stress-induced phase transformations VI Levitas, AM Roy Physical Review B 91 (174109), 7, 2015 | 131 | 2015 |
| Real-time growth stage detection model for high degree of occultation using DenseNet-fused YOLOv4 AM Roy, J Bhaduri Computers and Electronics in Agriculture 193, 106694, 2022 | 122 | 2022 |
| A Deep Learning Enabled Multi-Class Plant Disease Detection Model Based on Computer Vision AM Roy, J Bhaduri Artificial Intelligence 2 (3), 413-428, 2021 | 115 | 2021 |
| WilDect-YOLO: An efficient and robust computer vision-based accurate object localization model for automated endangered wildlife detection AM Roy, J Bhaduri, T Kumar, K Raj Ecological Informatics, 101919, 2023 | 112 | 2023 |
| Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface AM Roy Engineering Applications of Artificial Intelligence 116, 105347, 2022 | 100 | 2022 |
| An efficient multi-scale CNN model with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces AM Roy Biomedical Signal Processing and Control 74, 103496, 2022 | 98 | 2022 |
| DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism AM Roy, J Bhaduri Advanced Engineering Informatics 56, 102007, 2023 | 84 | 2023 |
| Multiphase phase field theory for temperature-induced phase transformations: Formulation and application to interfacial phases VI Levitas, AM Roy Acta Materialia 105, 244-257, 2016 | 79 | 2016 |
| Stability and strain-driven evolution of β′ precipitate in Mg-Y alloys ELS Solomon, AR Natarajan, AM Roy, V Sundararaghavan, ... Acta Materialia 166, 148-157, 2019 | 72 | 2019 |
| Deep Learning-Based Cost-Effective and Responsive Robot for Autism Treatment A Singh, K Raj, T Kumar, S Verma, AM Roy Drones 7 (2), 81, 2023 | 66 | 2023 |
| SQL and NoSQL Database Software Architecture Performance Analysis and Assessments—A Systematic Literature Review W Khan, T Kumar, C Zhang, K Raj, AM Roy, B Luo Big Data and Cognitive Computing 7 (2), 97, 2023 | 59 | 2023 |
| Introducing urdu digits dataset with demonstration of an efficient and robust noisy decoder-based pseudo example generator W Khan, K Raj, T Kumar, AM Roy, B Luo Symmetry 14 (10), 1976, 2022 | 56 | 2022 |
| Precise single-stage detector A Chandio, G Gui, T Kumar, I Ullah, R Ranjbarzadeh, AM Roy, A Hussain, ... arXiv preprint arXiv:2210.04252, 2022 | 49 | 2022 |
| An efficient and robust phonocardiography (PCG)-based valvular heart diseases (VHD) detection framework using vision transformer (ViT) S Jamil, AM Roy Computers in Biology and Medicine, 106734, 2023 | 40 | 2023 |
| Influence of interfacial stress on microstructural evolution in NiAl alloys AM Roy JETP Letters 112 (3), 173-179, 2020 | 39 | 2020 |
| Distinguishing Malicious Drones Using Vision Transformer S Jamil, MS Abbas, AM Roy Artificial Intelligence 3 (2), 260-273, 2022 | 34 | 2022 |
| Deep learning-accelerated computational framework based on Physics Informed Neural Network for the solution of linear elasticity AM Roy, R Bose, V Sundararaghavan, R Arróyave Neural Networks, 2023 | 31 | 2023 |
Veera SundararaghavanUniversity of Michigan, Ann Arbor在 umich.edu 的电子邮件经过验证
