Artificial intelligence (AI) holds promise for HIV disease surveillance and clinical decision support in sub-Saharan Africa, yet AI reliability and fairness depend fundamentally on data quality, a dimension rarely assessed before model development. This study presents a systematic, multi-facility data quality assessmen...
Joe Phiri, Aaron Zimba, C. Njovu et al.· Discover Artificial Intellig...· 0 citations
Macroscopic traffic flow models play a critical role in analysing and predicting large-scale traffic behaviour. The Payne-Whitham (PW) model has provided a foundational framework in this domain, yet its assumption of instantaneous driver response and fixed desired velocity limits its ability to capture the nuances of r...
Benjamin Simwinga, Aaron Zimba, Mayumbo Nyirenda· Discover Networks· 0 citations
Fuel price volatility presents significant economic and policy challenges in import-dependent economies such as Zambia. This study implements and compares four machine learning models: Ridge Linear Regression (LR), Random Forest (RF), Support Vector Regression (SVR) and Long Short-Term Memory (LSTM), using the Mean Abs...
This review synthesises studies on ML-based prediction using EHR or routinely collected electronic clinical data, with direct LMIC evidence analysed alongside high-income country (HIC) studies, included as methodological benchmarks.
Joe Phiri, Aaron Zimba, C. Njovu et al.· Discover Artificial Intellig...· 0 citations
This is the first PRISMA-guided systematic review that provides a unified cross-layer synthesis of intelligent wireless communication, sensing technologies, and AI-driven traffic modeling specifically for sustainable vehicular congestion reduction in 5G/6G-enabled ITS.
Benjamin Simwinga, Aaron Zimba, Mayumbo Nyirenda· Discover Networks· 0 citations
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