Automated machine learning driven quality of service management in resource-constrained software defined networks by White, Keegan

“…The deep learning models utilised by the framework are trained on data gathered from a community network and extensively tested in online network simulations. …”
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Thuto: Depth Analysis of South African and Sierra Leone School Outcomes using Machine Learning

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

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Cross-cultural transfer of learning materials for a journalism course at a higher education institution

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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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Machine learning for object-based crop classification using multi-temporal Landsat-8 imagery by Gilbertson, Jason Kane

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Probabilistic graphical modelling of seismic data processing in mining by Du Toit, Cornel

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

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An analysis of hybrid hidden Markov models for cetacean detection by Edwards, David James Erich

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

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Few-shot Learning for Joint Classification of Instrument, Pitch, and Playing Technique of Tones Produced by Bowed String Instruments

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Educational psychology students' experiences of academic service learning in a higher education partnership with rural schools

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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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Discriminative and Bayesian techniques for hidden Markov model speech recognition systems

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Using social learning environments to leverage traditional supervision of research students: a community of practice perspective by Mlambo, Shepherd

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