| Transferability of machine learning-based modeling frameworks across flood events for hindcasting maximum river flood depths in coastal watersheds M Pakdehi, E Ahmadisharaf, B Nazari, E Cho Natural Hazards and Earth System Sciences Discussions 2023, 1-57, 2023 | 3 | 2023 |
| Transferability of machine-learning-based modeling frameworks across flood events for hindcasting maximum river water depths in coastal watersheds M Pakdehi, E Ahmadisharaf, B Nazari, E Cho Natural Hazards and Earth System Sciences 24 (10), 3537-3559, 2024 | 1 | 2024 |
| Modeling the latent impacts of extreme floods on indoor mold spores in residential buildings: Application of machine learning algorithms M Pakdehi, E Ahmadisharaf, P Azimi, Z Yan, Z Keshavarz, C Caballero, ... Environment International, 109319, 2025 | | 2025 |
| Comparative Analysis of HEC-RAS and Neural Network Models for Hindcasting Water Depth and Flow Directions During Hurricane Sally M Pakdehi, E Ahmadisharaf, B Nazari AGU24, 2024 | | 2024 |
| Impacts of the Elevation Data on Hindcasting Maximum Flood Depths Using Machine Learning Models M Pakdehi, E Ahmadisharaf AGU24, 2024 | | 2024 |
| Regional analyses of the driving factors of mold growth and asthma E Ahmadisharaf, M Pakdehi Designsafe-CI, 2024 | | 2024 |
| Machine learning modeling to evaluate mold growth and asthma aftermath of hurricanes E Ahmadisharaf, M Pakdehi, Z Yan Designsafe-CI, 2024 | | 2024 |
| Impact of Hurricanes on Indoor Mold and Asthma: Subtitle M Pakdehi, P Azimi, Z Keshavarz, C Caballero, E Ahmadisharaf, Z Yan, ... Designsafe-CI, 2024 | | 2024 |
| Using Analytical Hierarchy Process for Excess-Chlorine Risk Assessments in a Water Distribution Network: A Case Study M Pakdehi, M Ardestani, MH Niksokhan, BD Barkdoll, E Ahmadisharaf Journal of Environmental Engineering 149 (12), 05023008, 2023 | | 2023 |
| Flood Data Collection And Processing For A Machine Learning Model C Cook, M Pakdehi | | |
Ebrahim AhmadisharafAssisant Professor, Florida State UniversityE-mailová adresa ověřena na: eng.famu.fsu.edu