An empirical study of the relationships between code readability and software complexity D Alawad, M Panta, M Zibran, MR Islam arXiv preprint arXiv:1909.01760, 2019 | 20 | 2019 |
ClassifyTE: a stacking-based prediction of hierarchical classification of transposable elements M Panta, A Mishra, MT Hoque, J Atallah Bioinformatics 37 (17), 2529-2536, 2021 | 19 | 2021 |
A machine learning approach to detecting cracks in levees and floodwalls A Kuchi, M Panta, MT Hoque, M Abdelguerfi, MC Flanagin Remote Sensing Applications: Society and Environment 22, 100513, 2021 | 11 | 2021 |
IterLUNet: Deep learning architecture for pixel-wise crack detection in levee systems M Panta, MT Hoque, M Abdelguerfi, MC Flanagin IEEE Access 11, 12249-12262, 2023 | 6 | 2023 |
Pixel-level crack detection in levee systems: A comparative study M Panta, MT Hoque, M Abdelguerfi, MC Flanagin IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 5 | 2022 |
Machine learning based prediction of hierarchical classification of transposable elements M Panta, A Mishra, MT Hoque, J Atallah arXiv preprint arXiv:1907.01674, 2019 | 1 | 2019 |
Deep Learning Approach for Accurate Segmentation of Sand Boils in Levee Systems M Panta, MT Hoque, KN Niles, J Tom, M Abdelguerfi, M Falanagin IEEE Access 11, 126263-126282, 2023 | | 2023 |
Faults Segmentation in Levee Systems Using Deep Learning Approaches M Panta | | 2023 |
Prediction of Hierarchical Classification of Transposable Elements Using Machine Learning Techniques M Panta | | 2019 |
Simulating the role of L1 retrotransposons in the evolving cancer genome J Atallah, J LeBien, G McCollam, M Panta | | |