| A remote sensing-based approach for debris-flow susceptibility assessment using artificial neural networks and logistic regression modeling R Elkadiri, M Sultan, AM Youssef, T Elbayoumi, R Chase, AB Bulkhi, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 94 | 2014 |
| Statistical applications to downscale GRACE-derived terrestrial water storage data and to fill temporal gaps H Sahour, M Sultan, M Vazifedan, K Abdelmohsen, S Karki, JA Yellich, ... Remote Sensing 12 (3), 533, 2020 | 93 | 2020 |
| Forecasting GRACE data over the African watersheds using artificial neural networks M Ahmed, M Sultan, T Elbayoumi, P Tissot Remote Sensing 11 (15), 1769, 2019 | 74 | 2019 |
| Mapping and forecasting onsets of harmful algal blooms using MODIS data over coastal waters surrounding Charlotte County, Florida S Karki, M Sultan, R Elkadiri, T Elbayoumi Remote Sensing 10 (10), 1656, 2018 | 54 | 2018 |
| Optimizing landslide susceptibility mapping using machine learning and geospatial techniques G Agboola, LH Beni, T Elbayoumi, G Thompson Ecological Informatics 81, 102583, 2024 | 23 | 2024 |
| A law of large numbers result for a bifurcating process with an infinite moving average representation JT Terpstra, T Elbayoumi Statistics & probability letters 82 (1), 123-129, 2012 | 12 | 2012 |
| Forecasting GRACE Data over the African Watersheds Using Artificial Neural Networks, Remote Sens., 11, 1769 M Ahmed, M Sultan, T Elbayoumi, P Tissot | 5 | 2019 |
| Weighted L1-estimates for the First-order Bifurcating Autoregressive Model TM Elbayoumi, J Terpstra Communications in Statistics-Simulation and Computation 45 (8), 2991-3013, 2016 | 3 | 2016 |
| On the estimation bias in first‐order bifurcating autoregressive models TM Elbayoumi, SA Mostafa Stat 10 (1), e342, 2021 | 2 | 2021 |
| Impact of Bias Correction of the Least Squares Estimation on Bootstrap Confidence Intervals for Bifurcating Autoregressive Models T Elbayoumi, S Mostafa Journal of Data Science, 2023 | 1 | 2023 |
| Bias Analysis and Correction in Weighted-L1 Estimators for the First-Order Bifurcating Autoregressive Model T Elbayoumi, S Mostafa Stats 7 (4), 1315-1332, 2024 | | 2024 |
| Infusion of data science and computation in introductory statistics S Mostafa, T Elbayoumi, S Kim IASE Conference Proceedings Series, 2024 | | 2024 |
| LEARNING STRATEGIES FOR MATH GROWTH MINDSET, SELF-REGULATION AND PERFORMANCE S Mostafa, K Nelson, T Elbayoumi, K Smith, G Tang Proceedings of the 51st Annual Meeting of the Research Council on …, 2024 | | 2024 |
| Forecasting harmful algal blooms over the coastal water, Charlotte County, Florida S Karki, M Sultan, R Elkadiri, T Elbayoumi Earth and Space Science Open Archive ESSOAr, 2019 | | 2019 |
| Statistical Down-scaling of GRACE Data Using Multivariate Regression Models and Artificial Neural Networks H Sahour, M Sultan, K Abdelmohsen, S Karki, JA Yellich, T Elbayoumi AGU Fall Meeting Abstracts 2018, H51M-1469, 2018 | | 2018 |
| Gap-Filling Between GRACE and GRACE-FO Missions Over Africa M Ahmed, M Sultan, T Elbayoumi AGU Fall Meeting Abstracts 2018, H51M-1462, 2018 | | 2018 |
| Long Term Precipitation Patterns Assessment and Prediction over the Mediterranean Basin R Elkadiri, M Sultan, H Momm, T Elbayoumi, A Milewski, Z Blair, V Briana AGU Fall Meeting Abstracts 2016, H51K-01, 2016 | | 2016 |
| Projecting Grace-Derived Terrestrial Water Storage (tws) Data Over the African Watersheds M Ahmed, M Sultan, TM Elbayoumi Geological Society of America Abstracts 48, 286035, 2016 | | 2016 |
| Forecasting Precipitation over the MENA Region: A Data Mining and Remote Sensing Based Approach R Elkadiri, M Sultan, T Elbayoumi, K Chouinard AGU Fall Meeting Abstracts 2015, H32A-07, 2015 | | 2015 |
| A Warning System for Rainfall-Induced Debris Flows: A Integrated Remote Sensing and Data Mining Approach R Elkadiri, M Sultan, I Nurmemet, H Al Harbi, A Youssef, T Elbayoumi, ... AGU Fall Meeting Abstracts 2014, NH11B-3697, 2014 | | 2014 |
mohamed sultanProfessor, Dept Geological and Environmental Sciences, Western Michigan UniversityCorreu electrònic verificat a wmich.edu