This research project investigates the development and implementation of AI-Powered Fraud Detection and Prevention in financial institutions. By using artificial intelligence and machine learning techniques like supervised learning, the proposed model aims to improve the accuracy, efficiency, and...
A major barrier to the mainstream adoption of cloud computing in the workplace is security, specifically security compliance. Cloud providers are required to adhere to certain security compliance standards for several reasons, including trust, legislative restrictions, and commercial needs. To...
Download PDF ↓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 ↓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...
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...
Download PDF ↓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...
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...
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...
Download PDF ↓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...
Download PDF ↓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...