A Deep Learning-Based Soil Moisture Estimation in Conus Region Using Cygnss Delay Doppler Maps. - M. M. Nabi; Volkan Yusuf Senyurek; Ali Cafer Gürbüz; Mehmet Kurum (IGARSS, 2022)

Class-Aware Fish Species Recognition Using Deep Learning for an Imbalanced Dataset. - Simegnew Yihunie Alaba; M. M. Nabi; Chiranjibi Shah; Jack Prior; Matthew D. Campbell; Farron Wallace; John E. Ball; Robert Moorhead (Sensors, 2022)

Off-Road Detection Analysis for Autonomous Ground Vehicles: A Review. - Fahmida Islam; M. M. Nabi; John E. Ball (Sensors, 2022)

Deep Learning-Based Soil Moisture Retrieval in CONUS Using CYGNSS Delay-Doppler Maps. - M. M. Nabi; Volkan Yusuf Senyurek; Ali Cafer Gürbüz; Mehmet Kurum (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Fusing Sentinel-1 with CYGNSS to Account For Vegetation Effects in Soil Moisture Retrievals. - Ege Bozdag; Volkan Yusuf Senyurek; M. M. Nabi; Mehmet Kurum; Ali Cafer Gürbüz (IGARSS, 2023)

Quasi-Global Assessment of Deep Learning-Based CYGNSS Soil Moisture Retrieval. - M. M. Nabi; Volkan Yusuf Senyurek; Fangni Lei; Mehmet Kurum; Ali Cafer Gürbüz (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Optimizing Longitudinal Velocity Control via Self-Supervised Learning and Deep Deterministic Policy Gradient. - Fahmida Islam; M. M. Nabi; John E. Ball; Christopher T. Goodin (IEEE Access, 2024)

Best Linear Unbiased Estimators for Fusion of Multiple CYGNSS Soil Moisture Products. - M. M. Nabi; Volkan Yusuf Senyurek; Mehmet Kurum; Ali Cafer Gürbüz (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)