Wildfire path spread prediction system using machine learning: use of ANN, convolutional autoencoder, and ConvLSTM ML model by Makhaba, Limpho Mapulane

“…This research performs a comprehensive investigation into the use of supervised classification Machine Learning(ML) models, specifically, Artificial Neural Networks(ANN), Convolutional Autoencoder, and Convolution Long Short-Term Memory(convLSTM), in predicting wildfire spread. …”
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Prediction of Distresses in Pavement Networks: A Machine Learning Approach by Kotb, Mahmoud

Subjects: “…pavement management prediction modeling machine learning…”
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Estimation of inverted electrical resistivity and advanced modelling of iron ore using machine learning models based on geophysical array data

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Cluster graph representations of low-density parity-check codes including non-stationary channel noise estimation by Du Toit, Jaco

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The implications of Ned Herrmann’s whole-brain model for violin teaching : a case study by Campbell, Velma-Jean

Subjects: “…Learning style models…”
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Building a Model for stock exchange growth in Africa: Learnings from the BRICS exchanges

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Modelling highly imbalanced credit card fraud detection data using statistical learning by Moodley, Revesa

“…The best supervised learning models are RF and XGBoost. The tree models were generally well suited to the imbalanced dataset, whilst LR performed the worst, even when applying regularisation. …”
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Enhancement of digital elevation models using tree-based ensemble machine learning algorithms by Okolie, Chukwuma

“…Thus, global digital elevation models (DEMs) have gained worldwide prominence due to their free availability; a prime advantage when compared to prohibitively expensive airborne topographic surveys. …”
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Towards an interactive mobile lecturing model a higher-level engagement for enhancing learning by Boyinbode, Olutayo Kehinde

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An interactive R shiny application for learning multivariate data analysis and time series modelling

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A machine learning-remote sensing framework for modelling water stress in Shiraz vineyards by Loggenberg, Kyle Devronne

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Integration and elaboration of the De Goede (2007) and Burger (2012) learning potential structural models by Venter, Braam

Subjects: “…Learning, Psychology of -- Mathematical models -- South Africa…”
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A structured approach to mitigate significant risks associated with the use of machine learning models by Swanepoel, Roedolf Johannes

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Partial end-to-end reinforcement learning for robustness towards model-mismatch in autonomous racing’ by Murdoch, Andrew

Subjects: “…Partial end-to-end; reinforcement learning; robustness towards model-mismatch; autonomous racing…”
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On retraining intervals and sequence lengths for machine learning models in foreign exchange rate forecasting by Vlok, Cassius Ray

Subjects: “…Machine learning…”
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An evaluation of a learning support model in primary schools in the West Coast/Winelands area by Dreyer, Lorna M.

Subjects: “…Learning support model…”
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