Utilizing available time-varying operating condition information in learning-based methods for fault diagnostics of rotating machinery

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Automated pre-impact fall detection by Swanepoel, Mia

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Digital soil mapping techniques across multiple landscape scales in South Africa by Trevan, Flynn

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Volumetric Medical Classification using Deep Learning: A comparative study on classifying Alzheimer's disease using Convolutional Neural Networks by Masson, Richard

“…This work sets about designing and implementing a number of deep-learning models capable of identifying Alzheimer's disease from MRI brain scans. …”
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Object-based geomorphometry and soil spectroscopy in a fluvial terrace dominated landscape by Louw, Gerrit Jacobus

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Artificial intelligence tools in legal work automation: The use and perception of tools for document discovery and privilege classification processes in Southern African legal fir... by Kufakwababa, Collen Zvandasara

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An intelligent method of predicting insurance claims fraud

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Development of effective gearbox fault diagnosis methodologies utilising various levels of prior knowledge

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Inferring secondary cell wall-related R2R3-MYB transcription factor gene targets in Eucalyptus grandis using DNA affinity purification sequencing

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How South African universities can contribute to preparing the future workforce for the Fourth Industrial Revolution by Wessels, Lizette

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Degradation estimation of high energy steam piping using hybrid recurrent neural networks

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Mapping surface water in complex and heterogeneous environments using remote sensing by Bangira, Tsitsi

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A cost-effective diagnostic methodology using probabilistic approaches for gearboxes operating under non-stationary conditions

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Does Green Pay Less? Global Corporate Bond Evidence on Primary and Secondary Yields by El Kenawy, Youssef

Subjects: “…Neural-network propensity score Propensity score estimated using a feed-forward neural network model. NN-PSM Neural Network Propensity Score Matching methodology combining machine learning with causal matching. …”
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Personalized fall detection monitoring system based on user movements

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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

“…However, the classical statistical model, the theta method, significantly outperformed all machine learning models. …”
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Predicting diarrhoea outbreak with climate change by Abdullahi, Tassallah Amina

“…Climate change is expected to exacerbate diarrhoea outbreak in South Africa, a leading cause of morbidity and mortality in the region. In this study, we modelled the impacts of climate change on diarrhoea with machine learning methods. …”
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Predicting grade progression within the Limpopo Education System by Ramphele, Frans

“…EDM is a field of data mining using mathematical and machine learning models to improve learners’ performance, education administration, and policy formulation. …”
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Exploring administrative micro-price data in Uganda : three novel applications by Okiror, Julius

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An unsupervised approach to COVID-19 fake tweet detection by Jarana, Bulungisa

“…Word embedding techniques such as TF-IDF, Word2Vec, and BERT were employed because machine learning models cannot process unprocessed text data directly, and word embedding resolves this issue. …”
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