Machine Learning based Prediction of Hierarchical Classification of Transposable Elements. - Manisha Panta; Avdesh Mishra; Md. Tamjidul Hoque; Joel Atallah (CoRR, 2019)

An Empirical Study of the Relationships between Code Readability and Software Complexity. - Duaa Alawad; Manisha Panta; Minhaz F. Zibran; Md. Rakibul Islam 002 (CoRR, 2019)

ClassifyTE: a stacking-based prediction of hierarchical classification of transposable elements. - Manisha Panta; Avdesh Mishra; Md. Tamjidul Hoque; Joel Atallah (Bioinform., 2021)

Pixel-Level Crack Detection in Levee Systems: A Comparative Study. - Manisha Panta; Md. Tamjidul Hoque; Mahdi Abdelguerfi; Maik C. Flanagin (IGARSS, 2022)

IterLUNet: Deep Learning Architecture for Pixel-Wise Crack Detection in Levee Systems. - Manisha Panta; Md. Tamjidul Hoque; Mahdi Abdelguerfi; Maik C. Flanagin (IEEE Access, 2023)

Deep Learning Approach for Accurate Segmentation of Sand Boils in Levee Systems. - Manisha Panta; Md. Tamjidul Hoque; Kendall N. Niles; Joe Tom; Mahdi Abdelguerfi; Maik Flanagin (IEEE Access, 2023)

Application of Deep Learning for Segmenting Seepages in Levee Systems. - Manisha Panta; Padam Jung Thapa; Md. Tamjidul Hoque; Kendall N. Niles; Steven Sloan; Maik Flanagin; Ken Pathak; Mahdi Abdelguerfi (Remote. Sens., 2024)