5 papers
Hybrid Probabilistic Forecasting of Under-Five Malaria Admissions in Ghana: A Gaussian Process Regression with Holt-Winters Smoothing
T. Ansah-Narh, Y. Asare Afrane, J. Bremang Tandoh
Accurate malaria forecasting remains a major challenge in sub-Saharan Africa, where strong seasonality, reporting uncertainty, and non-stationary transmission dynamics reduce the r…
Bayesian Inference of Nonlinear Malaria Dynamics in Ghana via an Ensemble Markov Chain Monte Carlo Sampler
T. Ansah-Narh, Y. Asare Afrane, J. Bremang Tandoh
Reliable quantification of malaria dynamics in sub-Saharan Africa is hindered by short, noisy, and spatially heterogeneous surveillance records. In Ghana, health-facility data from…
Smart Ensemble Learning Framework for Predicting Groundwater Heavy Metal Pollution
T. Ansah-Narh, G. Y. Afrifa, J. B. Tandoh +6
Groundwater in the Densu Basin is increasingly threatened by heavy metal contamination, but conventional methods fail to capture the statistical complexity and spatial heterogeneit…
The Ghana Radio Astronomy Observatory
Emmanuel Proven-Adzri, Nia Imara, Theophilus Ansah-Narh +7
The Ghana Radio Astronomy Observatory (GRAO) marks a pivotal advance in African radio astronomy through the successful transformation of a decommissioned 32 m satellite communicati…
Decoding the Radio Sky: Bayesian Ensemble Learning and SVD-Based Feature Extraction for Automated Radio Galaxy Classification
Theophilus Ansah-Narh, Jordan Lontsi Tedongmo, Joseph Bremang Tandoh +2
The classification of radio galaxies is central to understanding galaxy evolution, active galactic nuclei dynamics, and the large-scale structure of the universe. However, traditio…