Enhancing cross-dataset performance in distracted driver detection using body part activity recognition. by Zandamela, Frank

“…Firstly, it evaluates the performance of current deep learning-based distracted driver detection algorithms across different datasets. Secondly, it proposes a robust algorithm for detecting distracted drivers by identifying key human body parts involved in operating a vehicle.…”
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Examining personality assessment in asynchronous video interviews (AVI): convergence between human personality judgements and AI/ML scoring by Cronje, Jacobus Fouche

“…Responses were scored by 15 trained human raters and a closed-dictionary text-analysis keyword-counting AI algorithm developed for this study, respectively. …”
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Classification of ocean vessels from low resolution satellite SAR images

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Predicting process performance in the manufacturing and agricultural sectors using machine learning techniques by Khoza, Sibusiso Comfort

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Discriminating coughs in a multi-bed ward environment by Leng, Corwynne

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An innovative way to manage irrigation using cheap and simple wetting front detectors

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System identification and modal tracking on ship structures by Soal, Keith Ian

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The design of a dual reflector feed using surrogate modeling techniques by Vermeulen, Alexander Alfons

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

“…This version of FLORA intends to make use of a Convolutional Neural Network trained on a dataset of collected leaf images, to correctly classify species of Fynbos using natural images as training data. …”
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An investigation into the dynamic implementation of a 16-electrode FDM Electrical Impedance Tomography System by Goldswain, Gareth

“…Boundary measurements simulated using the Finite Element Method (with added Gaussian noise), produce a more representative training database than the empirical training methods used previously. 4. …”
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Return to play in elite rugby players after severe knee injuries : addressing the knowledge gaps by Robyn, Aneurin Dean

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Post mortem genetic determination of age and sex of unidentifiable remains admitted to the Pretoria Medico-Legal Laboratory

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A real-time hybrid method based on blade tip timing for diagnostics and prognostics of cracks in turbomachine rotor blades

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AI/Machine learning approach to identifying potential statistical arbitrage opportunities with FX and Bitcoin Markets by Ntsaluba, Kuselo Ntsika

“…In this study, a methodology is presented where a hybrid system combining an evolutionary algorithm with artificial neural networks (ANNs) is designed to make weekly directional change forecasts on the USD by inferring a prediction using closing spot rates of three currency pairs: EUR/USD, GBP/USD and CHF/USD. …”
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A deep learning-based approach towards automating visual reinforced concrete bridge inspections by Dube, Bright N

“…Convolutional neural network (CNN) algorithms are state-of-the-art in relation to the automatic detection of RC bridge defects. …”
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APIC: A method for automated pattern identification and classification by Goss, Ryan Gavin

“…While concepts such as Deep Learning have existed for many years, the computational power for realising the utility of these algorithms in real-world applications has only recently become available. …”
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Peer-to-peer biometric verification using nfc-enabled smartphones

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Multimodal one-shot learning of speech and images by Eloff, Ryan

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Automated stratigraphic classification and feature detection from images of borehole cores by Van der Walt, Stefan Johann

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