Comparison of classification techniques to review the plausibility of adjustments to multiples-based equity valuations : empirical study for South Africa by Gouws, Jauné

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Partial end-to-end reinforcement learning for robustness towards model-mismatch in autonomous racing’ by Murdoch, Andrew

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Metaheuristics for the selection and scheduling of jobs with time-dependent durations by Le Roux, Gavin James

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Study of the TR Synchronization and Video Conversion Unit by Abraham, Justin Kuruvilla

“…A new SVCU architecture, utilizing high speed ADCs and digital integrators, was then tested. …”
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Performance analysis of FBMC over OFDM in Cognitive Radio Network by Agoni, Amakan Elisha

“…A resource allocation algorithm was proposed where much attention was focused on interference and power constraint. …”
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Screening for Proteinopathic-related Dementias in Low-resource Clinical Contexts: A Machine Learning Approach by Lewis, Raphaella

“…Information from 20 clinical variables were used as features for the analysis. We used C5.0 algorithms to identify the most important features for PRD diagnosis and to derive an algorithm that could accurately diagnose these types of dementia. …”
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Genolve : a bioinformatics tool for the study of structure-driven genome evolution by Fouche, Helene

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Slotted time based protocol and polling strategies for low speed, narrow band applications by Ragadza, Ntakadzeni Ronald

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Automated brick sculpture construction by Smal, Eugene

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Application of data mining and machine learning on occupational health and safety struck-by incidents on south African construction sites: a CRISP-DM approach. by Adams, Logan Charl

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Modelling of the deaerator system in Flownex by Banda, Richard Bobby

“…The analytical model was developed by writing a Mathcad algorithm that solved the steady state one-dimensional mass and energy conservation equations around the deaerator boundary together with the oxygen component continuity equation. …”
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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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A graph-based framework towards trading financial markets by Pretorious, Joshua Chance

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Pronunciation modelling and bootstrapping

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Structural analysis in a distributed collaboratory by Van Rooyen, G. C. (Gert Cornelis)

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Automated Machine Learning for Predicting Trends in Time Series Data by Kouassi, Kouame

“…Recently, a hybrid Deep Neural Network (DNN) algorithm, TreNet was proposed for predicting trends in time series data. …”
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Improved decoder metrics for DS-CDMA in practical 3G systems by Elbassiouny, Shady Osama Mahmoud

“…MUDs, however, suffer from high complexity, including most of sub-optimal algorithms. Hence, most commercial implementations still use conventional single-user matched filter detectors. …”
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The application of machine learning for computational electromagnetic solver selection by De la Bat, Willem

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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

“…The number of input observations utilised were varied from four to fifteen observations whilst making forecasts from one up to ten timesteps into the future. …”
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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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