Reconstruction of 3D models of the femur from planar x-rays for surgical planning by Oosthuizen, Jodri

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A novel framework for monitoring oil spill from moving vessels using synthetic aperture radar

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Interpretation of an artificial neural network as a black box model by Laubscher, Karla

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Robust star identification using a neural network by Burger, Andries

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Learning decentralized policies with incremental reinforcement learning, reward shaping and self-play learning. by Bakambana, Jeremie

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Probabilistic tree transducers for grammatical error correction by Buys, Jan Moolman

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Molecular dynamics simulations of the electrical conductivities of high temperature metallurgical slags by Mongalo, Lehlohonolo

“…Two layer MLP feedforward ANN models, using the resilient back propagation algorithm for training, were used to predict conductivities. …”
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Investigating language preferences in improving multilingual Swahili information retrieval by Telemala, Joseph Philipo

“…We evaluated our proposed T-L-based algorithm using clickthrough logs from our prototype guided multilingual search engine. …”
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Integrated use of polarimetric Synthetic Aperture Radar (SAR) and optical image data for land cover mapping using an object-based approach by De Beyer, Leigh Helen

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Improving probabilistic record linkage with a single-layer neural network by Hamersma, Kris A.

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Evaluating a South African mobile application for healthcare professionals to improve diagnosis and notification of pesticide poisonings by Kabanda, Siti

“…Despite this useful platform for training HCPs, there are limited studies that have evaluated mobile applications or technologies to promote HCPs training in LMICs. …”
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Modeling cross-border financial flows using a network theoretic approach

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Decision tree development for land cover classification in the Eastern Cape by Verhulp, Julie Katherine

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Solving sparse-reward problems in partially observable 3D environments using distributed reinforcement learning by Louw, Jacobus Martin

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Quantifying phytoplankton biomass and sediment in river plumes along the Agulhas Bank using remotely sensed data with deep learning techniques by Pillay, Humeshni

“…For the developed [Chl-a] MLP algorithm, the constrained and full MLP models were similar, with C2RCC's AC producing the best results. …”
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Tracking with context by Du Toit, Carlo

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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

“…In this dissertation, MATLAB/Simulink software was used to develop the MPPT system, while the RL toolbox in MATLAB was used to train the DRL algorithms. Also, the P&O method was developed for comparison purposes and to validate the DRL algorithms' performance. …”
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Neural networks for time series analysis

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Biomedical image analysis of brain tumours through the use of artificial intelligence by Di Santolo, Claudia

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Reducing the Burden of Aerial Image Labelling Through Human-in-the-Loop Machine Learning Methods by Razzak, Muhammed T

“…We first develop an interactive segmentation algorithm. Interactive segmentation aims to segment objects with a supervisory signal from a user to assist the model. …”
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