Path planning for an unmanned terrestrial vehicle in an obstacle ridden environment by Ferreira, Thomas Ignatius

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Detecting network attacks using high-resolution time series by Lorgat, Mohamed Wasim

“…The aim of this thesis is therefore to provide an underlying theory for understanding a single class of detection algorithms, in particular, anomaly-based network intrusion detection algorithms that utilise high-resolution time series data. …”
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Guidance, navigation and control of a small, unmanned blended wing body aircraft by van Wyk, David

“…The purpose of this research is to document the design and optimisation of a full suite of guidance, navigation and control (GNC) algorithms for a small unmanned aerial vehicle (UAV), the Skywalker X8. …”
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Robust electronic circuit design using evolutionary and Taguchi methods by Owadally, Muhammud Asaad

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Design, implementation and evaluation of current regulators for high power converters by Du Toit, Jacques Andre

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Optimisation of complex simulation models by Bezuidenhoudt,Cecile Margaret

“…Computer simulation models are widely and frequently used to model real systems to predict output responses under specified input conditions. Choosing optimal simulation parameters leads to improved operation of the model but it is still a challenge as to how to go about optimally selecting these parameter values. …”
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Analytical modelling and design optimisation of the Eddy Current Slip Coupler by Erasmus, Abraham Stephanus

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Application of machine learning in the classification of area potential for transaction forecasting using regression analysis in two regions of the Johannesburg conurbation by Masola, Kabelo Charles

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Autonomous aerobatic flight of a fixed wing unmanned aerial vehicle by Hough, Willem J.

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Fast, realistic terrain synthesis by Crause, Justin

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An interactive R shiny application for learning multivariate data analysis and time series modelling

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Reinforcement learning for the control of traffic flow on highways by Schmidt-Dumont, Thorsten

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Predicting diarrhoea outbreak with climate change by Abdullahi, Tassallah Amina

“…Furthermore, relevance estimation and value calibration (REVAC) was used to tune the parameters of the machine learning algorithms to optimize the accuracy of their predictions. …”
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Automatic generation of a floor plan from a 3D scanned model: Making the Analogue World Digital by Wilson, Bradlee Kenneth

“…Current research tends to focus on the processing algorithms and not the sensors or methods for capturing the environment. …”
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Low-rank completion and recovery of correlation matrices by Ramlall, Chetan K

“…In almost all instances, the method of convex relaxation performed better than spectral methods and achieved the closest and best-fitted low-rank approximations to the true, optimal low-rank matrices (for some rank-n). Furthermore, a dependence was found to exist on which correlation pairs were used as inputs, with the accuracy of the approximations being, in general, directly proportional to the number of input correlations provided to the algorithms.…”
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Performance evaluation of massive MIMO Systems for future wireless access systems by Gahadza, Mutsawashe

“…Simulations to evaluate spectral efficiency for massive MIMO were done in MATLAB. Linear and sub-optimal signal processing methods like minimum mean square error (MMSE), zero forcing (ZF), regularized zero forcing (RZF) and maximal ratio combining (MRC) detection and precoding algorithms with relatively less complexity were evaluated. …”
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A hybrid scavenger grid approach to intranet search by Nakashole, Ndapandula

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