Exploring temporal dynamics of river discharge using univariate long short-term memory (LSTM) recurrent neural network at east branch of Delaware river MAA Mehedi, M Khosravi, MMS Yazdan, H Shabanian Hydrology 9 (11), 202, 2022 | 36 | 2022 |
Development of machine learning flood model using artificial neural network (ann) at var river M Ahmad, MA Al Mehedi, MMS Yazdan, R Kumar Liquids 2 (3), 147-160, 2022 | 31 | 2022 |
Quantifying Small-Scale Hyporheic Streamlines and Resident Time under Gravel-Sand Streambed Using a Coupled HEC-RAS and MIN3P Model MAA Mehedi, MMS Yazdan, MT Ahad, W Akatu, R Kumar, A Rahman Eng 3 (2), 2022 | 17 | 2022 |
Forecasting Energy Consumption Time Series Using Recurrent Neural Network in Tensorflow MMS Yazdan, M Khosravia, S Saki, MA Al Mehedi Preprints, 2022 | 15 | 2022 |
Automated Particle Tracing & Sensitivity Analysis for Residence Time in a Saturated Subsurface Media MAA Mehedi, MMS Yazdan Liquids 2 (3), 72-84, 2022 | 15 | 2022 |
Sensitivity Analysis of Hyporheic Exchange to Small Scale Changes in Gravel-Sand Flumebed Using a Coupled Groundwater-Surface Water Model M Abdullah Al Mehedi, N Reichert, F Molkenthin EGU General Assembly Conference Abstracts, 20319, 2020 | 14 | 2020 |
Estimating Flooding at River Spree Floodplain Using HEC-RAS Simulation MMS Yazdan, MT Ahad, R Kumar, MAA Mehedi J 5 (4), 410-426, 2022 | 10 | 2022 |
Predicting the performance of green stormwater infrastructure using multivariate long short-term memory (LSTM) neural network MA Al Mehedi, A Amur, J Metcalf, M McGauley, V Smith, B Wadzuk Journal of Hydrology 625, 130076, 2023 | 7 | 2023 |
Demystifying the Preventive Measures for Flooding from Groundwater Triggered by the Rise in Adjacent River Stage R Kumar, MMS Yazdan, MA Al Mehedi Preprints, 2022 | 6 | 2022 |
Unraveling the complexities of urban fluvial flood hydraulics through AI MAA Mehedi, V Smith, H Hosseiny, X Jiao Scientific Reports 12 (1), 18738, 2022 | 4 | 2022 |
Unraveling The Complexities of Urban Flood Hydraulics Through AI MA Al Mehedi, V Smith, H Hosseiny, X Jiao | 4 | 2022 |
Quantifying the Benefits of AI vs. Numerical Modeling for Urban Green Stormwater Infrastructure MA Al Mehedi, A Amur, M McGauley, J Metcalf, B Wadzuk, V Smith AGU Fall Meeting 2021, 2021 | 1 | 2021 |
Unraveling Urban Fluvial Flooding Complexities through AI MAA Mehedi, H Hosseiny, V Smith, X Jiao AGU Fall Meeting 2021, 2021 | 1 | 2021 |
Exploring Flood Mapping Using Sentinel-1 SAR Imagery and Machine Learning Across a Variety of Cities MA Al Mehedi, VB Smith, P Kremer AGU23, 2023 | | 2023 |
Evaluating Multi-scale Inputs LSTM vs Conceptual Models for Hourly Rainfall-Runoff Simulations MM Fathi, MA Al Mehedi, VB Smith, AM Fernandes, MT Hren, DO Terry AGU23, 2023 | | 2023 |
Advancing Green Stormwater Infrastructure Design through Integrated Physics and Machine Learning MA Al Mehedi, A Amur, M McGauley, VB Smith, B Wadzuk AGU23, 2023 | | 2023 |
Comparing Urban Flood Dynamics Using SAR Imagery And Google Earth Engine: Case Studies In Dhaka And Houston MAA Mehedi, V Smith, P Kremer AGU Fall Meeting 2022, 2022 | | 2022 |
Large Scale Prediction of Channel Roughness Coefficient Using Machine Learning MAA Mehedi, SA Saki, K Patel, S Cohen, C Shen, A Rajib, V Smith, ... AGU Fall Meeting Abstracts 2022, H45I-1491, 2022 | | 2022 |
Challenges in Accounting for Equity in Urban Stormwater Management VB Smith, B Wadzuk, P Kremer, K Homet, MAA Mehedi, E Devlin, L Moore AGU Fall Meeting Abstracts 2022, H35F-06, 2022 | | 2022 |
Linking history, society, and flood dynamics for stormwater management: A tale of two Philadelphia neighborhoods V Smith, MAA Mehedi, K Homet, E Devlin, P Kremer, B Wadzuk AGU Fall Meeting Abstracts 2021, SY35A-01, 2021 | | 2021 |