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Predictive Maintenance essentially involves predicting breakdown of the equipment to be maintained by detecting early signs of failure in order to make maintenance work more proactive. The application of such maintenance strategy requires the cooperation of several agents and involves knowledge...

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...

Telecommunication is one of the most ever evolving fields on the modern day market as it remains an underlining factor in Service provision cutting across Infrastructure as a service, (IaaS), Software as a Service (SaaS) and Platform as a Service (PaaS). Telecom towers form the backbone of our...

E-procurement can largely enhance the processes of public procurement by allowing more competition, reducing corporate transaction costs through digital technologies, and instilling confidence in decision-making within public institutions. These systems, when integrated with machine learning and...

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...

As mobile money services proliferate, the threat of smishing attacks targeting users has escalated. This paper presents a Smishing Detection Leveraging Natural Language Processing (NLP) and Machine Learning (ML) techniques. It aims to detect smishing threats in real-time with the integration of...

This research investigates the creation and application of Automated Build Pipelines (ABP) in private network settings with the goal of developing a model or framework that would manage semantic versioning, increase operational efficiency, and reduce downtime. In addition to identifying and...

The advent of the fifth generation (5G) of wireless technology has presented unprecedented challenges in network management due to its complex, heterogeneous nature involving multiple domains. Addressing these challenges, the paper at hand proposes an innovative orchestration framework designed...

This study examines Zambia's attempt to improve the security, openness, and effectiveness of the electoral process by introducing a blockchain-based voting system. A proof-of-concept model that includes smart contracts, system architecture, UI design, and encryption techniques is presented in the...

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...