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Dongmei Feng
University of Cincinnati Main CampusMeeting roles in:
Applications of Machine Learning in Large-Scale Hydrology and Water Quality Modeling I Oral
Validating SWOT River Observations in Remote and Ungaged Basins Using In Situ and ADCP Measurements
Applications of Machine Learning in Large-Scale Hydrology and Water Quality Modeling II Oral
Applications of Machine Learning in Large-Scale Hydrology and Water Quality Modeling III Poster
Towards Global Estimation of Riverine Suspended Sediment Flux Using Deep Learning
Satellite-Based Marine Microplastic Detection Using Machine Learning Algorithms
A Multitask LSTM Framework for Estimating Daily Nitrogen, Phosphorus, and Suspended Solids in CONUS Rivers
Advancing Water Quality Monitoring and Management Through Remote Sensing and Artificial Intelligence I Poster
Modeling Harmful Algal Blooms in Surface Water Bodies Using Sentinel-2 Images and Machine Learning
Global hydropower potential of world rivers revealed by the SWOT Mission
Advancing Water Quality Monitoring and Management Through Remote Sensing and Artificial Intelligence II Oral
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