Distributed binary decision diagrams by Fasan, Mary Oluwasola

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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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Automated brick sculpture construction by Smal, Eugene

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Application of data mining and machine learning on occupational health and safety struck-by incidents on south African construction sites: a CRISP-DM approach. by Adams, Logan Charl

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Modelling of the deaerator system in Flownex by Banda, Richard Bobby

“…The analytical model was developed by writing a Mathcad algorithm that solved the steady state one-dimensional mass and energy conservation equations around the deaerator boundary together with the oxygen component continuity equation. …”
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Bayesian analysis of historical functional linear models with application to air pollution forecasting by Junglee, Yovna

“…The efficiency of the MCMC algorithms is increased by implementing a Cholesky decomposition to sample from high-dimensional Gaussian distributions and by taking advantage of the orthogonal properties of the functional principal components used to model the functional covariates. …”
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Automated Machine Learning for Predicting Trends in Time Series Data by Kouassi, Kouame

“…Recently, a hybrid Deep Neural Network (DNN) algorithm, TreNet was proposed for predicting trends in time series data. …”
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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

“…The number of input observations utilised were varied from four to fifteen observations whilst making forecasts from one up to ten timesteps into the future. …”
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A computer vision framework towards automated scene understanding & analysis by Sarah-lee de Greeff

“…Most computer vision algorithms are deep learning based approaches but differ significantly in architecture. …”
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A critical evaluation of a community based mother-infant intervention project with special emphasis on infant attachment by Tomlinson, Mark

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Heuristic and metaheuristic approaches to the multi-period vehicle routing problem with time windows and rolling planning horizon by Harmse, Greg

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Modelling, estimation and control of a twin-helicopter slung load transportation system by Reddi, Yashren

“…A high-fidelity mathematical model of a small-scale helicopter was developed. Estimation algorithms were then developed to optimally fuse the data from the instrumentation designed. …”
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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

“…Weather stations with similar seasonal patterns are firstly grouped together using certain clustering algorithms. The start and end of the rainfall season dates for the different groups of weather stations are estimated and then compared over time to determine whether there have been any changes. …”
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Optimising the Optimiser: Meta NeuroEvolution for Artificial Intelligence Problems by Hayes, Max Nieuwoudt

“…The purpose of this work is to explore the effectiveness of Bayesian Optimisation as a hyperparameter tuning algorithm on the reinforcement learning algorithm NEAT's hyperparemters. …”
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A systematic approach to model predictive controller constraint handling : rigorous geometric methods

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Relative orientation with limited control in close range Photogrammetry by Rüther, Heinz

“…Throughout the thesis algorithms are developed which make it possible to execute all computations on computers with limited memory capacity. …”
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Hydraulic Data Preprocessing for Anomaly Based Intrusion Detection on SCADA Level of Water Treatment Systems by Mboweni, Ignitious

“…The best performance was achieved when the preprocessed dataset was randomly split into training and testing, yielding a significant improvement in accuracy, F1 score and time to detection for both algorithms used in the study, namely Fine Tree and Boosted Trees Ensemble.…”
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The use of artificial intelligence for business optimisation in banking: case of Nigeria by Akobe, David

“…AI technologies such as the Sentiment intensity analyser, LR, K-means algorithm, Naïve Bayes algorithm, K-nearest neighbour, and Recommendation engines, were used for various tasks. …”
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From high-speed superconducting devices to nanosensors by Perold, Willem

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Molecular genetic analyses of antipsychotic pharmacogenes in a South African first episode schizophrenia cohort by Higgins, Faatiemah

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