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Manisha Panta
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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
202019
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
192021
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
112021
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
62023
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
52022
Machine learning based prediction of hierarchical classification of transposable elements
M Panta, A Mishra, MT Hoque, J Atallah
arXiv preprint arXiv:1907.01674, 2019
12019
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
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Articles 1–10