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Department of Environmental SciencePhysical Sciences
Nana Kofi Ahoi Appiah-Badu
2 Publications2 Research Themes1 Open Access
Research Overview & Focus
The researcher's work focuses on advancing hydrological forecasting techniques by leveraging machine learning algorithms, particularly emphasizing the application of AI for accurate rainfall prediction and climate analysis. Their research extends the use of these methods to diverse regions, with a particular emphasis on improving resource management and adaptation strategies through innovative data-driven approaches.
Key Research Themes (2)
Physical Sciences
Climate variability and models
Physical Sciences
Hydrological Forecasting Using AI
Publications (2)
Rainfall Prediction Using Machine Learning Algorithms for the Various Ecological Zones of Ghana
Open AccessDeriving Useful Information from Bimonthly Global-Scale Climate Analysis for Climate Change Adaptation Over East Africa
Academic Metrics
DepartmentDepartment of Environmental Science
Total Publications2
Research Themes2
Open Access Papers1
Department of Environmental Science
Kwame Nkrumah University of Science and Technology