A Remote Sensing-Based Approach for Debris-Flow Susceptibility Assessment Using Artificial Neural Networks and Logistic Regression Modeling. - Racha Elkadiri; Mohamed Sultan; Ahmed M. Youssef; Tamer M. Elbayoumi; Ronald Chase; Ali B. Bulkhi; Mohamed M. Al-Katheeri (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Weighted L1-estimates for the First-order Bifurcating Autoregressive Model. - Tamer M. Elbayoumi; Jeff Terpstra (Commun. Stat. Simul. Comput., 2016)

Mapping and Forecasting Onsets of Harmful Algal Blooms Using MODIS Data over Coastal Waters Surrounding Charlotte County, Florida. - Sita Karki; Mohamed Sultan; Racha Elkadiri; Tamer M. Elbayoumi (Remote. Sens., 2018)

Forecasting GRACE Data over the African Watersheds Using Artificial Neural Networks. - Mohamed Ahmed 002; Mohamed Sultan; Tamer M. Elbayoumi; Philippe Tissot (Remote. Sens., 2019)

Statistical Applications to Downscale GRACE-Derived Terrestrial Water Storage Data and to Fill Temporal Gaps. - Hossein Sahour; Mohamed Sultan; Mehdi Vazifedan; Karem Abdelmohsen; Sita Karki; John A. Yellich; Esayas Gebremichael; Fahad Alshehri; Tamer M. Elbayoumi (Remote. Sens., 2020)

Optimizing landslide susceptibility mapping using machine learning and geospatial techniques. - Gazali Oluwasegun Agboola; Leila Hashemi Beni; Tamer M. Elbayoumi; Gary Thompson (Ecol. Informatics, 2024)