17 citations · 20 across the 4 of their papers we have counts for
4 papers
Oya: Deep Learning for Accurate Global Precipitation Estimation
Emmanuel Asiedu Brempong, Mohammed Alewi Hassen, MohamedElfatih MohamedKhair +7
Accurate precipitation estimation is critical for hydrological applications, especially in the Global South where ground-based observation networks are sparse and forecasting skill…
An Operational Deep Learning System for Satellite-Based High-Resolution Global Nowcasting
Shreya Agrawal, Mohammed Alewi Hassen, Emmanuel Asiedu Brempong +16
Precipitation nowcasting, which predicts rainfall up to a few hours ahead, is a critical tool for vulnerable communities in the Global South frequently exposed to intense, rapidly…
High-Resolution Building and Road Detection from Sentinel-2
Wojciech Sirko, Emmanuel Asiedu Brempong, Juliana T. C. Marcos +9
Mapping buildings and roads automatically with remote sensing typically requires high-resolution imagery, which is expensive to obtain and often sparsely available. In this work we…
MiNet: A Convolutional Neural Network for Identifying and Categorising Minerals
Emmanuel Asiedu Brempong, Millicent Agangiba, Daniel Aikins
Identification of minerals in the field is a task that is wrought with many challenges. Traditional approaches are prone to errors where there is no enough experience and expertise…