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

Get full text

Contributions to quantitative feedback theory design and preliminary application to a variable-pitch quadcopter by Pretorius, Arnold

“…Following this, a state estimation algorithm, based on the extended Kalman filter, is developed, which fuses camera information from the motion capture system to provide pose estimation of the quadcopter platform. …”
Get full text

Contributions to quantitative feedback theory design and preliminary application to a variable-pitch quadcopter by Pretorius, Arnold

“…Following this, a state estimation algorithm, based on the extended Kalman filter, is developed, which fuses camera information from the motion capture system to provide pose estimation of the quadcopter platform. …”
Get full text

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

Get full text
Get full text

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

Get full text

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. …”
Get full text

Automatic building footprint extraction using remote sensing data within the City of Cape Town

Get full text

A study of Mesoscale Eddies, the Agulhas current and the evolution of its meanders using satellite observations and numerical modelling experiments by Braby, Laura

“…In this study, we compare two simulation experiments in a regional Hybrid Coordinate Ocean Model (HYCOM), where we change the wind forcing, and using an eddy tracking algorithm assess the local effect of the changed wind stress on source region eddies and their interaction with the northern Agulhas Current. …”
Get full text

Non-linear neurocontrol of chemical processes using reinforcement learning by Hunter, Stephen Leon

Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text
Get full text

The use of data analytics to improve running form and reduce risk factors in middle to long distance runners

Get full text

Model predictive control of a grid-connected converter With LCL-filter by Geldenhuys, Joanie Michellene Claudette

Get full text

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. …”
Get full text

Pronunciation modelling and bootstrapping

Get full text
Get full text

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

Get full text