Student satisfaction with a blended learning approach: implementation evaluation of three Honours programmes in Education by Botha, Jeanette

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Investigating project-based learning (PBL) in a STEM school in Egypt: A case study by Elfarargy, Hamada Ahmed

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A deep learning approach towards diagnostics of bearings operating under non-stationary conditions

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A framework for modelling customer invoice payment predictions by Moore, Willem Roux

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Algorithm selector for dynamic AGV scheduling in a smart manufacturing environment using machine learning by Schweitzer, Felicia Cathrin

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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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Computer vision-based automated cow lameness estimation using machine learning and synthetic data

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Learning to speak and hear through multi-agent communication over a continuous acoustic channel by Eloff, Kevin

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The mentoring role of unit managers in a clinical psychiatric setting

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A model to achieve communicative equivalence in translation dictionaries by Mphahlele, Motlokwe Clifford

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Expansionary engagements : Butterworth's didactic-democratic spectrum model in physical theatre choreography

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Fiscal policy incentives for minerals exploration : what South Africa can learn from the Canadian experience

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Machine learning approaches towards identifying inhibitors for plasmodium falciparum cGMP-dependent protein kinase. by Thibaud, Jessica Leigh

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Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station by Arwa, Erick Odhiambo

“…First, the power scheduling problem was expressed as a sequential decision-making process. Then an asynchronous Q-learning algorithm was developed to solve it. …”
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Convolutional Neural Networks for Robust Fynbos Leaf Classification: Enabling Trustworthy Machine Learning in Botanical Science by Govender, Jarushen

“…A part of thesis involved the creation of a novel Image Quality Assessment tool to remove low quality images that negatively influenced the predictive capability of the model. The model evaluation process makes use of SHapley Additive exPlanations (SHAP), a tool for visualising model predictions, to contribute to the explian-ability of the model and to develop trust and confidence in machine-learning algorithms, with the ultimate aim of providing a tool to merge the fields of ecology, botany and electrical engineering. …”
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The implementation of the language policy for multilingual education: extending the teaching and learning of Isixhosa for communicatative purposes in teacher education by Xeketwana, Simthembile

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The implementation of the language policy for multilingual education: extending the teaching and learning of Isixhosa for commucative purposes in teacher education by Xeketwana, Simthembile

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An analysis of the performance and interpretability of machine learning classification algorithms to predict long-term share returns on the JSE by Boakes, Jamie

“…However, the outputs of machine learning models are not transparent or interpretable, which limits their usability for real-world decision making. …”
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Using machine learning to predict the risk severity of late effects o f childhood cancer survivors by Nortje, Lene

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Grafting serious play : Creating a learning landscape as an educational resource junction for CBD schools in Johannesburg

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