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

Get full text

RSFQ digital circuit design automation and optimisation by Muller, Louis C.

Get full text

Multi-objective optimisation under deep uncertainty by Shavazipour, Babooshka

“…The two- and three-stage Simulation-Optimisation algorithms were also proposed. A comparison of these algorithms showed that the solutions to the two-stage moving horizon model are feasible to the other pattern (three-stage). …”
Get full text

Load management of electric water heaters in a smart grid through forecasting and intelligent centralised control by Roux, Marcel

Get full text

A machine learning-aided multi-objective optimisation decision support framework for the healthcare social enterprise location problem by Jacobs, Rentia

Get full text

A longitudinal analysis of neonatal and infant diagnostic HIV-PCR uptake and associations during three sequential policy periods in Mitchell’s Plain, Cape Town by Kalk, Emma

“…A critical review of the literature appraised published assessments of birth HIV testing programmes in low- and middle-income countries (Section B: Literature Review) with the aim of assessing in utero transmission rates, follow-up testing and transmission rates and the resources required for implementation. …”
Get full text

Development of a decision-support tool for implementing circular value creation structures using machine learning and a digital ecosystem by Walter, Selina

Get full text

Evaluating image classification techniques on ASTER data for lithological discrimination in the Barberton Greenstone Belt, Mpumalanga, South Africa by Kemp, Jacobus Nicholas, Zietsman, H. L., Stevens, G.

Get full text

Data storage security for cloud computing using elliptic curve cryptography by Buop, George Onyango

“…Institutions and enterprises are moving towards more service availability, managed risk and at the same time, aim at reducing cost. Cloud Computing is a growing technology, thriving in the fields of information communication and data storage. …”
Get full text

Changes in rainfall seasonality in the Western Cape, South Africa: an exploration of methods for determining the start and end of the rainfall season by Ivey, Peter

“…The aim of this thesis is to detect and analyse changes in seasonality in rainfall for various groups of weather stations in the Western Cape area. …”
Get full text

Small-scale distributed machine learning in R by Taylor, Brenden

“…This research outlines the core concepts of distributed computing and provides brief outlines of the more common approaches to parallel and distributed computing in R, with reference to the specific algorithms and aspects of machine learning that are investigated. …”
Get full text

Optical characterisation of Southern Ocean phytoplankton by Morrison, Frieda

“…In many cases, these are the primary systematic observations available for chronically undersampled marine systems such as the SO. Inversion algorithms are applied to satellite radiometry with the goal of characterising the optical properties of the in-water constituents, primarily phytoplankton. …”
Get full text

Hydraulic Data Preprocessing for Anomaly Based Intrusion Detection on SCADA Level of Water Treatment Systems by Mboweni, Ignitious

“…Critical water systems infrastructure is a target of many attackers who aim to penetrate the system for malicious reasons. …”
Get full text

Convolutional Neural Networks for Robust Fynbos Leaf Classification: Enabling Trustworthy Machine Learning in Botanical Science by Govender, Jarushen

“…The model evaluation process makes use of SHapley Additive exPlanations (SHAP), a tool for visualising model predictions, to contribute to the explian-ability of the model and to develop trust and confidence in machine-learning algorithms, with the ultimate aim of providing a tool to merge the fields of ecology, botany and electrical engineering. …”
Get full text

The use of artificial intelligence for business optimisation in banking: case of Nigeria by Akobe, David

“…AI technologies may be used for analysing customer data and predicting customer behaviour, with the aim of customer retention and satisfaction. Such technologies include machine learning algorithms and deep learning models. …”
Get full text

An aircraft and provide information about flight performance and local microclimate by Johnson, Bruce Edward

Get full text

Multiscale spatial modeling with applications in image analysis

Get full text

A low cost, high precision star sensor by Jacobs, M. J.

Get full text

Development and demonstration of a performance evaluation framework for threat evaluation and weapon assignment systems by Truter, Martin Louw

Get full text

Project Leanness Score: A Machine Learning Approach by Said, Julia

“…Lean construction is a philosophy, backed with principles and tools, aiming at maximizing value, eliminating waste, optimizing efficiency, and seeking continuous improvement. …”
Get full text
Get full text