Machine learning applications in detecting sand boils from images A Kuchi, MT Hoque, M Abdelguerfi, MC Flanagin Array 3, 100012, 2019 | 16 | 2019 |
StackSSSPred: a stacking-based prediction of supersecondary structure from sequence M Flot, A Mishra, AS Kuchi, MT Hoque Protein Supersecondary Structures: Methods and Protocols, 101-122, 2019 | 14 | 2019 |
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 |
Levee-crack detection from satellite or drone imagery using machine learning approaches A Kuchi, MT Hoque, M Abdelguerfi, MC Flanagin IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 8 | 2020 |
CpG Site-Based Signature Predicts Survival of Colorectal Cancer J Wu, L Zhang, A Kuchi, D Otohinoyi, C Hicks Biomedicines 10 (12), 3163, 2022 | 3 | 2022 |
Landscape of molecular Crosstalk Perturbation between lung cancer and COVID-19 A Kuchi, J Wu, J Fuloria, C Hicks International Journal of Environmental Research and Public Health 19 (6), 3454, 2022 | 2 | 2022 |
Integrating genomic information with tumor-immune microenvironment in triple-negative breast cancer D Otohinoyi, A Kuchi, J Wu, C Hicks International Journal of Environmental Research and Public Health 19 (21), 13901, 2022 | 1 | 2022 |
Detection of Sand Boils from Images using Machine Learning Approaches AS Kuchi | 1 | 2019 |