Parallelising inference on cluster graphs by Verburgh, Cornel

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Analytical modelling and design optimisation of the Eddy Current Slip Coupler by Erasmus, Abraham Stephanus

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Autonomous airborne refueling : relative state estimation by Runhaar, Anton Johan

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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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Development and testing of a laboratory digital controller by Closel, Andre Gerard

“…Finally a brief study was made of the other possibilities of the controller and its algorithms.…”
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Control of CO2 vibrational dynamics via shaped-pulse coherent anti-Stokes Raman spectroscopy by Hendriks, Adriaan Jacobus

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

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Enhanced LSMC for Valuation of Options by Mekawy, Amr

“…Among these instruments are Options, which regardless of their complexity, can be an extremely versatile tool to be utilized across a wide range of different markets. …”
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Aggregated service consolidation by multi-server virtualization by Nkubito, Phillip Uwizeye

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Disaggregating employment data to building level : a multi-objective optimisation approach

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Structural performance evaluation of concrete arch dams using ambient vibration monitoring and GNNS systems by Bukenya, Patrick

“…Methods used in the analysis of dam monitoring data include data-driven models, physical-based models and hybrid models. Data-driven models utilise environmental variables as independent factors and dam responses as dependent factors. …”
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A framework for evaluating clinical data using graph-based link prediction by Parshotam, Himil

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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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Recursive marginal quantization: extensions and applications in finance by Rudd, Ralph

“…When applied to two-factor models, recursive marginal quantization becomes computationally inefficient as the optimization problem usually requires stochastic methods, for example, the randomized Lloyd’s algorithm or Competitive Learning Vector Quantization. …”
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Monitoring and diagnosis of process systems using kernel-based learning methods by Jemwa, Gorden Takawadiyi

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Optimisation and dynamic effect of slip couplers in geared wind drivetrains by Britz, Joseph Juan

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Application of machine learning and knowledge-based systems to support decision-making on fate and behaviour of engineered nanoparticles in aqueous environment

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Predictive maintenance using clustering methods for the use-case of bolted connections in the automotive industry by Bekker, Emmarentia Lydia

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