The application of neural differential equations to enzymatic time-series by Heusdens, Danica Aimee

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The development of Sun and Nadir sensors for a solar sail CubeSat by Loubser, Hanco Evert

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Analysing the behaviour of a smart card based model for secure communication with remote computers over the internet

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AI-Augmented proactive cyber detection and mitigation of cybersecurity threats in the banking sector by Mulea, Prince Rotondwa

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Efficient energy management in ultra-dense wireless networks by Wambi, Paul James

“…This study proposes a sub-optimal algorithm and Distributed Cell Resource Allocation with a Base Station On/Off scheme that aims at reducing the overall base station power consumption in UDNs, while ensuring that the overall Quality of Service (QoS) for each User Equipment (UE) as specified in its service class is met. …”
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The application of advanced signal processing techniques to the condition monitoring of electrical machine drive systems by Barendse_PS

“…These applications were specifically chosen to encapsulate important issues in condition monitoring of variable speed drive systems. The main aim of the project is to highlight the need for fault detection during machine transients and to illustrate the effectiveness of incorporating and adapting these new class of algorithms to detect faults in electrical machine drive systems during non-stationary conditions. …”
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The application of advanced signal processing techniques to the condition monitoring of electrical machine drive systems by Barendse, Paul Stanley

“…These applications were specifically chosen to encapsulate important issues in condition monitoring of variable speed drive systems. The main aim of the project is to highlight the need for fault detection during machine transients and to illustrate the effectiveness of incorporating and adapting these new class of algorithms to detect faults in electrical machine drive systems during non-stationary conditions. …”
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Deriving the internal bony structure of the cochlea from high-resolution µCT images for translation to low resolution image-based construction of person-specific computational mode...

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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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Modelling the clusters and boundaries of sub-Saharan plant assemblages in future environments by Ncube, Thinabakho R.L

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Anti-spoofing using challenge-response user interaction by Saad, Alia Mahmoud Khaled

“…This study aims first at comparing the performance of the existing spoofing detection techniques on passive and interactive authentication methods using a more balanced collected dataset and second proposes a fusion scheme that combines both texture analysis with interaction in order to enhance the accuracy of spoofing detection.…”
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Spell checkers and correctors : a unified treatment

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Critical analysis of angle modulated particle swarm optimisers

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An analysis of the descriptors of acute myocardial infarction used by South Africans when calling for an ambulance from a National Emergency Call Centre by Buma, Chloe Ashton

“…Identification of these patients in the call centre is challenging due to a highly diverse South African society, with multiple languages, cultures, and levels of education. The aim of this study was therefore, to describe the terms used by members of the South African public when calling for an ambulance for patients suffering an AMI. …”
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An overview of KLM-style defeasible entailment by Kaliski, Adam

“…Information is represented in a formal language, which facilitates algorithmic reasoning about some domain knowledge. Traditionally, the algorithms used for the reasoning services are monotonic, which states that adding knowledge never causes the retraction of an inference. …”
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Development of a risk score for constrictive pericarditis using the Investigation of the Management of Pericarditis randomised clinical trial dataset by Geffen, Hayli

“…While various supervised learning classification methods, including tree-based algorithms, support vector machines and artificial neural networks, were compared to stratify individuals according to low, medium and high risk for constrictive pericarditis, the final risk score was developed using logistic regression. …”
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Exploring the application of Natural Language Processing to scientific medical cannabis publications by de Beer, James Charles

“…In turn, this would help direct future research and clinical trials. This thesis aims to develop an appropriate method to extract the key connections between cannabis compounds, human physiology and disease from the existing medical literature. …”
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Screening for Proteinopathic-related Dementias in Low-resource Clinical Contexts: A Machine Learning Approach by Lewis, Raphaella

“…The wide-ranging social and economic consequences of PRDs means there is an urgent need for clinical services dedicated to their early and accurate detection, particularly in low-resource contexts. The aim of the present study was to use machine learning techniques to identify a minimum number of clinical variables (neuropsychological test data and vascular risk factor information) required for accurate classification of PRDs in an older adult sample from an LMIC population and to derive a decision tree algorithm that diagnoses these types of dementias. …”
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Texture and bubble size measurements for modelling concentrate grade in flotation froth systems by Forbes, Gordon

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Advanced process monitoring using wavelets and non-linear principal component analysis

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