• Comparative analysis of Machine Learning Algorithms for Estimating Global Solar Radiation at Selected Weather Stations in Vhembe District Municipality 

  Marandela, Mulalo Veronica (2023-10-05)

  hstimating anct assessing the energy talling in a particular area 1s essential tor installers ot renewable technologies. Different equations have been applied as the most reliable empir­ ical for estimating global solar ...
• Credit Card Fraud Detection using Boosted Random Forest Algorithm 

  Mashamba, Thanganedzo Beverly (2023-10-05)

  Financial fraud is a growing concern with far-reaching concerns in financial institutions, government, and corporate organizations, leading to substantial monetary losses. The primary cause of financial loss is credit ...
• Solar power forecasting using Gaussian process regression 

  Chandiwana, Edina (2023-10-05)

  Solar power forecasting has become an important aspect affecting crucial day-to-day activities in people's lives. Many African countries are now facing blackouts due to a shortage of energy. This has caused the urge to ...
• Commodity Futures Market Prices: Decomposition Approach 

  Antwi, Emmanuel (2023-10-05)

  Financial investments on commodity markets have attracted many investigations due to its importance to the global economy, and worldwide trade as a whole. The radical price changes in commodity market prices, especially ...
• Exploring the Multi-scale character of infectious disease dynamics 

  Mufoya, Blessings (2023-05-19)

  This research study characterised multiscale models of infectious disease dynamics. This was achieved by establishing when it is appropriate to implement particular mathematical methods for different multiscale models. ...
• The Development and Application of Coupled Multiscale Models of Malaria Disease System 

  Maregere, Bothwell (2022-11-10)

  The purpose of this thesis is to develop coupled multi-scale dynamics of infectious disease systems. An infectious disease system consists of three subsystems interacting, which are the host, the pathogen, and the ...
• Time-frequency domain analysis of exchange rate market integration in Southern Africa Development Community: A Hilbert-Huang Transform approach 

  Adam, Anokye Mohammed (2022-11-10)

  The desire of most African economic communities to introduce a common currency has persisted for years. As postulated by the Optimum Currency Area hypothesis, coordination of policy indicators among member countries is ...
• Share Price Prediction for Increasing Market Efficiency using Random Forest 

  Mbedzi, Tshinanne Angel (2022-11-10)

  The price of a single share of a collection of sell-able shares, options, or other financial assets, shall be the price of a share price. The share price is unpredictable since it primarily depends on buyers’ and sellers’ ...
• Fundamental Analysis for Stocks using Extreme Gradient Boosting 

  Gumani, Thanyani Rodney (2022-11-10)

  When it comes to stock price prediction, machine learning has grown in popularity. Accurate stock prediction is a very difficult activity as financial stock markets are unpredictable and non-linear in nature. With the ...
• Predicting an Economic Recession Using Machine Learning Techniques 

  Molepo, Mashaka Ruth (2022-11-10)

  few economic downturns were predicted months in advance. This research has the ability to give the best performing models to assist businesses in navigating prior recession periods. The study address the subject of ...
• Modelling average maximum daily temperature using r largest order statistics: An application to South African data 

  Nemukula, M. M.; Sigauke, Caston (OASIS, 2018-05-02)

  Natural hazards (events that may cause actual disasters) are established in the literature as major causes of various massive and destructive problems worldwide. The occurrences of earthquakes, floods and heat waves ...
• On the bivariate spectral quasi-linearization method for solving the two-dimensional Bratu problem 

  Muzara, Hillary; Shateyi, Stanford; Marewo, Gerald Tendayi (De Gruyter, 2018-05-30)

  In this paper, a bivariate spectral quasilinearization method is used to solve the highly nonlinear two dimensional Bratu problem. The two dimensional Bratu problem is also solved using the Chebyshev spectral collocation ...
• Alternative methods for solving nonlinear two-point boundary value problems 

  Ghomanjani, Fateme; Shateyi, Stanford (2018-03-18)

  In this sequel, the numerical solution of nonlinear two-point boundary value problems (NTBVPs) for ordinary di erential equations (ODEs) is found by Bezier curve method (BCM) and orthonormal Bernstein polynomials (OBPs). ...
• Numerical solution of mixed convection flow of an MHD Jeffery fluid over an exponentially stretching sheet in the presence of thermal radiation and chemical reaction 

  Shateyi, Stanford; Marewo, Gerald T. (De Gruyter, 2017-11-27)

  We numerically investigate a mixed convection model for a magnetohydrodynamic (MHD) Jeffery fluid flowing over an exponentially stretching sheet. The influence of thermal radiation and chemical reaction is also considered ...
• Computational analysis of magnetohydrodynamics boundary layer flow of nanofluid over a stretching sheet in the presence of heat generation or absorption and chemical reaction 

  Molaudzi, Vhutshilo (2022-07-15)

  In this study, we present the effect of two-dimensional magnetohydrodynamics of a nanofluid over a stretching sheet in the presence of chemical reaction, as well as heat generation or absorption. The partial differential ...
• Multi-objective Loan Portfolio Optimization in Peer-to-Peer Lending Markets using Machine-Learning Techniques 

  Maakgetlwa, Saleme Shoky (2022-07-15)

  Portfolio optimization problems in the Peer-to-Peer lending Platforms involve selecting good loan applications (less risky) from various potential borrowers. Such loans have lower level of risk in terms of funding and ...
• Hierarchical forecasting of monthly electricity demand 

  Chauke, Ignitious (2022-07-15)

  Energy demand forecasting is a vital tool for energy management, maintenance planning, environmental security, and investment decision-making in liberalised energy markets. The mini-dissertation investigates ways to ...
• Modelling volatility, equity risk and extremal dependence of the BRICS Stock Markets 

  Mukhodobwane, Rosinah Mphedziseni (2022-07-15)

  With the use of empirical data of the BRICS (Brazil, Russia, India, China, and South Africa) stock markets, this thesis focuses on solving three main nancial and investment issues involving returns volatility, risk and ...
• Forecasting wavelet denoised global horizontal irradiance using attention-based long short term memory network: A case study of South Africa 

  Nelwamondo, Ndamulelo Innocent (2022-07-15)

  Microgrids are becoming a crucial component of the electricity grid in dependability, economics, and environmental sustainability. Microgrids rely heavily on renewable energy sources. From an engineering standpoint, ...
• A Neural Network Enhanced RSA Model Towards a Confidentiality-Integrity-Authenticity Compliant Hybrid 

  Magoma, Promise Tshepiso (2021-03-19)

  Data security is an important aspect in the field of data science where data collection, analysis, interpretation, and sharing are a primary goal. To prevent unauthorized access to data, creative methods to securing data ...

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