Viability of UAV-based antenna pattern measurements by Kriel, Scott Graham Hilton

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Newer and novel sputum versus non-sputum-based tools for the diagnosis of active tuberculosis in different patient sub-populations by Esmail, Aliasgar

“…Methods (sub-populations are underlined) In Chapter 1, I describe an evaluation of an algorithm that describes the optimal & cost efficient strategy to combine sputum GeneXpert and urine LAM (tests that are recommended by the WHO) in a hospitalized HIV-infected sub-population: This comprised a post-hoc analysis of 561 HIV-infected sputum-expectorating patients that was part of a larger parent trial. 5 different diagnostic strategies using sputum culture as a reference standard were explored (Xpert alone, LAM alone, sequential Xpert followed by LAM and vice versa [LAM in Xpert-negative patients and Xpert in LAM-negative patients], and both tests concurrently [LAM + Xpert]). …”
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An investigation into higher and partial moment portfolio selection frameworks by Polden, Stuart John

“…It solves the endogeneity issue present in the co-semivariance matrices, through the usage of a direct multi-search algorithm. The two frameworks were tested across multiple datasets, including one of pure stocks and one of asset classes, to test the ability to both allocate assets and select stocks. …”
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Nonlinear heat transfer and thermo mechanical stress analysis using finite elements. by Pennington, Derek Steven

“…Four, eight and nine noded isoparametric continuum finite elements with the option of the plane stress, plane strain and axisymetric cases are utilized. Nonlinear heat transfer due to temperature dependent thermal conductivity and/or internal heat generation is solved using an iterative method based on the Newton-Raphson algorithm. …”
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Modelling and multi-objective optimisation of heat transfer characteristics and pressure drop of nanofluids in microtubes

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Methods to extract maximum electrical energy from PV panels on the earth's surface by Bekker, Bernard

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Distributed autonomous intersection management with neuro-evolution by Cherry, Matthew P

“…We further identify some areas in which to optimize the evolution method, by looking at hyper-parameters which have a computational cost but which did not produce better performance.…”
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Enhanced method of moments performance through efficient implementation and error estimation by Cilliers, Pierre

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Personal Income Tax reform to secure the South African revenue base using a micro-simulation tax model

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Protection-based Distributed Generation Penetration Limits on MV feeders - Using Machine Learning by Nxumalo, Emmanuel

“…Gradient descent, which is an optimisation algorithm that iterates and finds optimal values of the parameters that correspond to the local or global minimum values of the cost function using calculus was used to measure the accuracy of each model's hypothesis function. …”
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A retrospective review of Granulomatous Interstitial Nephritis (GIN) amongst HIV-infected patients at Groote Schuur Hospital, Cape Town by Nel, Debbie

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The effect of a structured self-monitoring blood glucose regimen on glycaemic control for type 2 diabetes patients using insulin

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Advanced vineyard based long range sensor networks by Nell, Nicholas

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A systematic approach to the tuning of multivariable Dynamic Matrix Control (DMC) controllers

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Low complexity turbo equalization using superstructures

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A unified strategy for windup prevention in control systems with multiple saturating actuators by Browne, Michael John

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Uterine balloon volume shifts using a free-flow uterine balloon in the management of refractory postpartum haemorrhage by Hassim, Tasleem, Kidd, Martin

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Modelling weapon assignment as a multiobjective decision problem by Lotter, Daniel Petrus

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Face recognition with partial occlusions using weighing and image segmentation

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Detecting change in complex process systems with phase space methods by Botha, Paul Jacobus

“…The first method considered was a change-point algorithm that is based on singular spectrum analysis. …”
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