The integration of artificial intelligence (AI) and machine learning (ML) into electronic health record (EHR) systems offers a transformative Fourth Industrial Revolution (4IR) opportunity for public health decision-making in resource-limited settings. The translation of algorithmic advances into...
The effectiveness of monetary policy in Zambia is undermined by foreign exchange (FX) market inefficiencies, including lack of transparency, fragmented monitoring mechanisms, and limited regulatory enforcement. These shortcomings contribute to inflation volatility and weaken the capacity of the...
The increasing adoption of the Internet of Things (IoT) in healthcare has revolutionized patient care through real-time monitoring and remote diagnostics. This project presents a SecurityAware IoT-Driven Remote Patient Monitoring (RPM) Framework that captures, encrypts, and securely transmits...
This project is focused on the development and demonstration of an automated Human Resource (HR) case processing system designed to facilitate the storage and analysis of data to support decision making processes by extracting meaningful data from scanned HR case documents. Specifically, this...
Download PDF ↓This research addresses the critical challenge of opacity and potential bias in machine learning (ML) models used for credit scoring. While advanced models like Gradient Boosting Machines and Deep Neural Networks offer superior predictive accuracy, their "black box" nature hinders regulatory...
Download PDF ↓As all cattle producers are interested in export profit and also for the continuity of their herd numbers there is increasing acceptance for the use of the Internet of Things (IoT) technologies-with a focus on monitoring cattle movement and managing pasture access behaviors in this research. GPS...
Aquaculture is a viable way for Zambia to fulfil the increasing demand for fish, however conventional approaches don’t have effective monitoring systems. For smallscale farmers, this makes it more difficult to diagnose diseases, manage resources properly, and adopt sustainable techniques. This...
Download PDF ↓This study introduces a groundbreaking TB detection system in Zambia, harnessing chest X-ray analysis via machine learning. Addressing the limitations of traditional TB detection methods, this research utilized a layered architecture for image processing and classification using a convolutional...
Download PDF ↓This research project proposes a blockchain and zero knowledge proof model for decentralised drug distribution and stock transfer in public health care facilities in Zambia. The model aims to improve the efficiency, security, privacy and transparency of the drug supply chain and enable...
In the realm of 5G network optimization, the SIMU5G framework emerges as a potent simulation tool, encapsulating adaptive numerology, scheduling support, and mmWave support for the comprehensive modeling and optimization of 5G networks. Operating on a simulation-based approach, SIMU5G enables...