De novo assembly of admixed South African genomes and its application in genetic susceptibility to tuberculosis. by Sparks, Anel

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Analysis and evaluation of brush-DC equivalent controlled multiphase cage induction machine drive by Gule, Nkosinathi

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Smart dock for bicycle protection in theft-prone urban areas by Swanepoel, Mardu Christof

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Development of a robust myoelectric control architecture for lower limb robotic prostheses applications. by Garikayi, Talon

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Real-Time behaviour classification techniques in low-power animal borne sensor applications by Solomon Petrus, Le Roux

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ADM1 Parameter Calibration Method based on partial least squares regression framework for industrial-scale anaerobic digestion modelling by Xu, Zhehua

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Postconditioning the isolated perfused rat heart : the role of kinases and phosphatases by Van Vuuren, Derick

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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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Fast, realistic terrain synthesis by Crause, Justin

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Antenna axis offset and intersection determination using GPS by Combrinck, Willem Ludwig

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An attitude control system for the deployment and stabilisation of a tethered dual CubeSat mission by Kearney, Mike-Alec

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Design and optimization of an embedded machine learning image processing system with a Linux SOC for large-scale livestock tallying by Le Roux, Morne

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The dynamic modelling and development of a controller for a general purpose remotely operated underwater vehicle by Finbow, Maximillian

“…A closed-loop speed controller is developed for the thruster module using a standard PI scheme and is implemented on an MSP430 microcontroller using software fixed-point algorithms. The complete ROV system is simulated in Simulink® in an open-loop configuration to gain insight into the expected motion from the vehicle. …”
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A comparative study of recurrent neural networks and statistical techniques for forecasting the stock prices of JSE-listed securities by Galant, Rushin

“…This is likely the result of the unforeseen impact of the covid-19 pandemic on financial markets that would not have been factored into the training sets of the machine learning algorithms. . . .…”
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A computer vision framework towards automated scene understanding & analysis by Sarah-lee de Greeff

“…Most computer vision algorithms are deep learning based approaches but differ significantly in architecture. …”
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Pharmacogenomics of warfarin: comprehensive evaluation of important warfarin genomic response factors by Ndadza, Arinao

“…Data on variants that specifically affect warfarin dose variability among Africans is lacking, with no dosing algorithms tailored specifically for Africans developed to date. …”
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Using machine learning to predict the risk severity of late effects o f childhood cancer survivors by Nortje, Lene

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Bayesian analysis of historical functional linear models with application to air pollution forecasting by Junglee, Yovna

“…The efficiency of the MCMC algorithms is increased by implementing a Cholesky decomposition to sample from high-dimensional Gaussian distributions and by taking advantage of the orthogonal properties of the functional principal components used to model the functional covariates. …”
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Relative orientation with limited control in close range Photogrammetry by Rüther, Heinz

“…Throughout the thesis algorithms are developed which make it possible to execute all computations on computers with limited memory capacity. …”
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