Researcher: Lerato Tlale, University of the Witwatersrand, JohannesburgSupervisor: Helen Sarah Robertson, University of the Witwatersrand, Johannesburg Urban safety’s correlation with holistic quality of life in South Africa’s evolving urban landscape demands comprehensive exploration and understanding.South Africa’s population, estimated at 58 million in2019 and projected to reach 65

Researcher: Small Tshithavhana, University of the Witwatersrand, JohannesburgSupervisor: Dr. Walter Mudzimbabwe, University of the Witwatersrand, Johannesburg Financial forecasting has become increasingly important in today’s global market due to its ability toassess risk and inform decision-making. However, accurately forecasting financial markets is challengingdue to their stochastic nature and

Researcher: Tebogo Malatsi, University of the Witwatersrand, JohannesburgSupervisor: Assoc. Prof. YudhvirSeetharam, University of the Witwatersrand, Johannesburg This study replicates prior research on default risk assessment using ensemble and deep learning techniques, leveraging payment data from the UCI Machine Learning Repository for Taiwan. It specifically compares boosting, random

Researcher: Netshamutshedzi Ndivhuwo, University of VendaSupervisor: Dr Ibidun Obagbuwa, University of the Witwatersrand, Johannesburg This study investigates email monitoring systems using machine learning. In this study, we contribute to previous studies on spam problems to improve accuracy by utilising a variety of methods.  

Researcher: Moris Madike, University of LimpopoSupervisor: Prof Justine Nasejje, University of the Witwatersrand, Johannesburg  

Researcher: Fhulufhelo Mugware, University of VendaSupervisor: Prof C. Sigauke, University of the Witwatersrand, Johannesburg  

Researcher: Dimpho Mosaka, University of the Witwatersrand, JohannesburgSupervisor: Dr Martins Arasomwan, University of the Witwatersrand, Johannesburg More studies have demonstrated that the DeepNeural Networks(DNN)techniques can be used to forecast the stock market price. This research project aims to investigate the effectiveness of deep neural network techniques in

Researcher: Mufunwa Nemushungwa, University of the Witwatersrand, JohannesburgSupervisor: Dr Martins Arasomwan, University of the Witwatersrand, Johannesburg This research compares three variations of SOM: standard SOM, SOM combined with K-means, and SOM paired with the social spider optimization (SSO) algorithm in performing customer segmentation. The results show that