Researcher:  Tshegofatso Kgomo, University of the Witwatersrand, JohannesburgSupervisor: Prof. Rod Alence, University of the Witwatersrand, Johannesburg High youth unemployment and low economic growth are challenges in South Africa (SA).  Entrepreneurship is considered an essential catalyst for this challenge. For entrepreneurship, entrepreneurial intentions (EIs) are pivotal because they are the

Researcher:  Kola Ijasan, University of the Witwatersrand, JohannesburgSupervisor: Dr Babatunde Oluwayomi, University of the Witwatersrand, Johannesburg Increase in Land Value – conventional urban land economics theories argue that transportation costs are a major element in land value.  The availability of transportation infrastructure such as motorways or train lines

Researcher:  Lulamile Mtebeni, University of the Witwatersrand, JohannesburgSupervisor: Prof. Rod Alence, University of the Witwatersrand, Johannesburg This research analyses the assumption that the root cause of terrorism is poverty and other forms of socioeconomic deprivation. By analyzing all terrorist incidents between 1997 to 2020, this research sought to contribute

Researcher: Malahlane Komane, University of LimpopoSupervisor: Dr Alphonce Bere, University of Venda The study uses a recursive partitioning approach. To investigate the age at first marriage for women living in South Africa. There are well known methods of recursive partitioning which includes CART and random forest. The aim of

Researcher:  Percival Shimange, University of the Witwatersrand, JohannesburgSupervisor: Dr R Maluta, University of Venda Our environment’s climate change has effects on energy consumption, generation, systems, and infrastructure. In the last decade, the demand for alternative energy conversion and storage devices has increased significantly.  This project uses organic solar

Researcher:  Sedzani Ndou, University of VendaSupervisors:  Prof. O. Olugbenga Breast cancer is a deadly disease mostly in women’s health all over the world, as it is considered the second most deadly cancer after lung cancer.  To predict breast cancer we implement six different algorithms. We try to pick the

Researcher:  Merriam Thoka, University of LimpopoSupervisor: Dr Hairong Bau, University of the Witwatersrand, Johannesburg Tree-based machine learning (ML) models are non-linear predictive models utilized today due to their accuracy and efficiency, but understanding their decisions has received very little attention.  Recently, banks are adopting ML to compute credit score

Researcher:  Puseletso Maile, University of the Witwatersrand, JohannesburgSupervisor:  Prof. Rod Alence, University of the Witwatersrand, Johannesburg In 2010 leaders from developed nations pledged to contribute a $100 billion year on year towards climate finance for developing countries. The reason for this is because developed countries are the biggest polluters

Researcher:  Jeremiah Ogunniyi, Sol Plaatje UniversitySupervisor:  Dr Ibidun Obagbuwa , Sol Plaatje University This study applied three machine learning algorithms namely Linear Regression (LR), Random Forest (RF), and Support Vector Machine (SVM) to predict precipitation in KwaZulu Natal Province, South Africa. The result shows that SVM had the best

Researcher:  Tshepiso Segone, University of the Witwatersrand, JohannesburgSupervisor:  Prof. Rod Alence, University of the Witwatersrand, Johannesburg Agricultural development in developing countries is essential for alleviating poverty. Compared to developing countries, the rate of agricultural development in developing countries is drastically delayed. Climate-related threats to agricultural production can disturb economic