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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 Access
2021Hydrological Forecasting Using AIDOI: 10.1109/access.2021.3139312

Deriving Useful Information from Bimonthly Global-Scale Climate Analysis for Climate Change Adaptation Over East Africa

2017Climate variability and modelsDOI: 10.1007/978-3-319-49520-0_8
Academic Metrics
DepartmentDepartment of Environmental Science
Total Publications2
Research Themes2
Open Access Papers1

Department of Environmental Science

Kwame Nkrumah University of Science and Technology

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