Researcher: Sindisiwe Zulu, University of the Witwatersrand, JohannesburgSupervisor: Mr Rendani Mbuvha, University of the Witwatersrand, Johannesburg Wind energy is seen as the next promising renewable energy to be used for future power generation. The stochastic wind behavior has resulted in the development of improved wind forecasting techniques.

Researcher: Seleme Shoky, University of VendaSupervisor: Dr Farai Mlambo, University of the Witwatersrand, Johannesburg Each year credit card fraud is growing significantly with the advancements of technology resulting in extreme losses to those affected. We build ML model to detect fraudulent activity in credit card transaction systems.

Researcher: Makgoka Nkoana, University of the Witwatersrand, JohannesburgSupervisor: Dr Farai Mlambo, University of the Witwatersrand, Johannesburg Wavelet Neural Networks were inspired by neural networks as well as wavelet decomposition, and as such Zhang and Beneveniste sort to combine the two concepts. This particular network is often used

Researcher: Linhle Mbombo, University of VendaSupervisor: Professor Augustine Munagi and Professor Turgay Çelik, University of the Witwatersrand, Johannesburg Machine learning (ML) algorithms is improving auto-mated tasks, using data to make predictions and solve clustering problems. The data that is used to fit the model is from institutions,

Researcher: Mashaka Molepo, University of VendaSupervisor: Professor Bruce Mellado, University of the Witwatersrand, Johannesburg The use of neural networks as sources for the study in Monte Carlo simulation for the detection of hadronic -decay w boson including strong jet quacks [1]. The need for data science algorithms

Researchers: Patrick Mthisi, University of the Witwatersrand, JohannesburgSupervisor: Dr Yudhvir Seetharam, University of the Witwatersrand, Johannesburg This project uses a disaggregate modeling approach to model the behaviour of key financial market players in order to assess the quality of South African financial market. To achieve this, an

Researcher: Asiphe Mzaza, University of the Witwatersrand, JohannesburgSupervisors: Prof. Bruce Mellado, University of the Witwatersrand, Johannesburg Anomalies in the observations of Run 1 and Run 2 data from the ATLAS detector at the LHC suggest physics beyond the Standard Model. The Madala Hypothesis, attempts to explain these

Researcher: Andisani Nemavhola, University of VendaSupervisors: Dr Justine Nasejje, University of the Witwatersrand, Johannesburg This study presents and implements random survival forests (RSF) and two of its split rules. The two RSF split rules that this study focuses on are the 𝐿1 and the logrank. The research

Researcher: Subhashini Pillay, University of the Witwatersrand, JohannesburgSupervisors: Dr Jennifer Fitchett, University of the Witwatersrand, Johannesburg Social media is an becoming an important platform for deriving the opinions, views and perceptions of tourists (O’Connor, 2010);TripAdvisor is the most popular reviewing platform for tourists (Litvin and Dowling, 2018);

Researcher: Nompumelelo Sibiya, University of the Witwatersrand, JohannesburgSupervisors: Mr Rendani Mbuvha, University of the Witwatersrand, Johannesburg Due to increasing popularity associated with artificial intelligence, machine learning and data availability, most banks are renewing their business models. Credit risk predictions is one of the most vital keys to