| Artificial Intelligence Model in Predicting Geomechanical Properties for Shale Formation: A Field Case in Permian Basin F Nath, SM Asish, D Ganta, HR Debi, G Aguirre, E Aguirre Energies 15 (22), 8752, 2022 | 7 | 2022 |
| Predicting hydrocarbon production behavior in heterogeneous reservoir utilizing deep learning models F Nath, S Asish, HR Debi, MOS Chowdhury, ZJ Zamora, S Muñoz Unconventional Resources Technology Conference, 13–15 June 2023, 506-521, 2023 | 4 | 2023 |
| Online Advertisement System: A New Intelligent Approach T Chowdhury, HR Debi The International Journal of Soft Computing and Software Engineering [JSCSE …, 2013 | 3 | 2013 |
| Prediction and analysis of geomechanical properties using deep learning: A Permian Basin case study F Nath, K Murillo, SM Asish, D Ganta, V Limon, E Aguirre, G Aguirre, ... Unconventional Resources Technology Conference, 20–22 June 2022, 1936-1951, 2022 | 2 | 2022 |
| Rock thin-section analysis and mineral detection utilizing deep learning approach F Nath, S Asish, S Sutradhar, Z Li, N Shahadat, HR Debi, SMS Hoque Unconventional Resources Technology Conference, 13–15 June 2023, 3201-3211, 2023 | | 2023 |
Fatick NathAssistant Professor, Texas A&M International UniversityVerified email at tamiu.edu
