Towards the discovery of boiler physics in a Kraft recovery boiler using sparse identification of non-linear dynamics

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A deep learning approach towards diagnostics of bearings operating under non-stationary conditions

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Model-free intelligent Control for anti-lock braking systems on rough terrain

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Subword segmental neural language generation for Nguni languages by Meyer, Francois Rolihlahla

“…We propose subword segmental modelling, a neural architecture and training algorithm that learns subword segmentation during training. …”
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Automatic building footprint extraction using remote sensing data within the City of Cape Town

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The use of automated integrated management of childhood illness guidelines in primary health care in the Western Cape in South Africa by Rhode, Hilary Wallis Juliana

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Hierarchical Reinforcement Learning in Minecraft by Rossouw, Francois Armand

“…M any c urrent r einforcement learning (RL) algorithms rely on a lengthy trial-and-error training process, making it infeasible to train them in the real world. …”
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Gaussian Process Regression for Option Pricing and Hedging by Patel, Ishani

“…This dissertation aims to investigate the accuracy and efficiency of Gaussian process regression (GPR) compared to traditional quantitative pricing algorithms. The GPR algorithm is applied to pricing a down-and-out barrier call option. …”
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Applications of Gaussian Process Regression to the Pricing and Hedging of Exotic Derivatives by Muchabaiwa, Tinotenda Munashe

“…GPR is a supervised machine learning technique which makes use of a training set to train an algorithm so that it makes predictions. …”
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An Epileptic Seizure Detection Method from EEG Signals based on a Classifier-Driven Feature Reduction Technique by Kamel, Raymond N.

“…This thesis work aims to develop a robust and stable algorithm for epileptic seizure detection through the classification of EEG signals. …”
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Traditional Image Processing and Modern Computer Vision Techniques for the Study of Two-Phase CO2 Flow by Kadish, Shai

“…Traditional image processing is used to develop an algorithm which extracts the void fraction value from an image of bubbly flow. …”
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Pronunciation modelling and bootstrapping

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Implementation and evaluation of two prediction techniques for the Lorenz time series by Huddlestone, Grant E.

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Mining continuous classes using evolutionary computing

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Face recognition with partial occlusions using weighing and image segmentation

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Natural Language Processing on Data Warehouses by Maree, Stiaan

“…In contrast, the embedding model implemented the word2vec algorithm to create different kinds of vectors from the data warehouse. …”
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Data-driven augmentation of pronunciation dictionaries by Loots, Linsen

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Facial recognition, eigenfaces and synthetic discriminant functions by Muller, Neil

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