Single manager hedge funds - aspects of classification and diversification by Bohlandt, Florian Martin

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Evaluation of the operational Mercator Global Ocean analysis and forecast system modelled current vector product with in-situ ADCP data in the Southern Benguela upwelling system by Gammon, Emily

“…The resulting current profile data were used to validate the Mercator data product for the same area. Data collected by the ADCP and simulated data from the NEMO model were matched spatially (nearest-neighbour) and temporally (rolling average), and the similarity of current vector components was statistically investigated. …”
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The use of classification methods for gross error detection in process data by Gerber, Egardt

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Evaluating digital image correlation speckle pattern quality using finite element‑based displacement fields by Phukubye, Noko Sekolo

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Regional CO₂ flux estimates for South Africa through inverse modelling by Nickless, Alecia

“…Sensitivity analyses were performed which focused on how changes to the prior information and prior uncertainty estimates and the error correlations of the fluxes would impact on the Bayesian inversion solution. …”
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Short-term stream flow forecasting and downstream gap infilling using machine learning techniques by Steyn, Melise

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Ensemble estimation and analysis of network parameters: strengthening the GIC modelling chain by Heyns, Michael John

“…GIC modelling makes the assumption that the resultant GIC at a specific node in a power network is assumed to be linearly related to the horizontal vector components of the geoelectric field, which is induced by a plane-wave geomagnetic field. …”
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An artificial intelligence model to predict financial distress in companies listed on the Johannesburg Stock Exchange

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Incorporating sensor measurements using data assimilation and machine learning to improve the accuracy of thermal finite element models

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Measuring spatial market integration between urban and rural food markets in South Africa

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Developing and Forecasting the Egyptian Construction Cost Index by Elsaied, Mayada

“…All statistical analyses, encompassing correlation analysis, Granger causality tests, and the VAR model, have been executed with precision using the R software. …”
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Impact of Trade Liberalisation on Economic Growth: South Africa's automotive perspective by Libazi, Nomfundo

“…The study aims to investigate the effects of trade openness policy on the automotive industry's development and economic growth. The study uses the Vector Error Correction Model (VECM) to examine the relationship between trade liberalisation and economic growth. …”
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A Machine Learning Framework for Predicting Fabrication Hours for Industrial Steel Structure Projects by Ibrahim, Dalia

“…The research also delves into the identification of the most important features affecting the model performance through sequential feature selection, investigation of linear regression models coefficients and spearman correlation. …”
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Using international diversification to enhance predicted equity index performance: a South African perspective by Phillip, Jarryd

“…The purpose of this study is to examine the potential of developing an international investment strategy using future index price predictions and offsetting predicted price declines by investing in negatively correlated international markets. Therefore, the first objective of this study was to examine the feasibility and accuracy of using a machine learning technique to model and predict the future price of stock market indices of South Africa (All Share Index) and a variety of other developed and developing international markets, which included South Africa, Brazil, Russia, India and China of the BRIC countries and Italy, France, Netherlands, Switzerland, Germany, Nigeria, Australia, Hong Kong, Saudi Arabia, Japan, the U.S., Turkey and the U.K., which were identified as South Africa’s major trading partners. …”
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A supervised machine-learning method for detecting steady-state visually evoked potentials for use in brain computer interfaces: A comparative assessment by Duggan, Kieran Eamon

“…In this process the estimated parameters, as a function of the model for a given SSVEP response, were found. These estimated parameters were used to train several support vector machines (SVM) to classify the SSVEPs. …”
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Effect of stock market development on long-run economic growth-case of South Africa by Tinavapi, Cuthbert Tafadzwa

“…The existence of a long-run relationship between the variables was tested after using lag length selection criteria from an estimated vector autoregression to select the optimal lags for the vector error correction model of the ARDL. …”
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Pension fund reform towards development of national economy : a South African case study by Moleko, Nthabiseng

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