Evaluating technology-based interventions to enhance the learning of first year Statistics students

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Evaluating the potential of machine learning for promotional demand planning and price optimisation in retail by De Beer, Samuel Heinrich

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Machine learning methods for individual acoustic recognition in a species of field cricket by Dlamini, Gciniwe

“…These results show that individual recognition of the crickets using acoustics can be achieved with great success through the use of machine learning. Moreover, the performance of the deep learning models when trained upon the raw acoustic samples indicate that the feature (MFCC) extraction step can be bypassed; the deep learning machine algorithms can be trained directly on the raw acoustic data and still achieve great results.…”
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Sources and application of professional knowledge amongst teacher educators

Subjects: “…Learning…”
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Prediction of hepatitis B in adult patients in the Gambia using machine learning algorithms. by Asare, Dorcas

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Deep Learning-Based Visual Localisation and Navigation for the Voyager Mobile Robotic Platform by Daneels, Alexander Luke

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Semi-supervised machine learning for livestock threat classification using gps data by De Swardt, Urs

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Applying imputation and statistical learning to predict gamma-glutamyl transferase in underwriting data by Perumal, Yevashan

“…This indicates that further research is required before insurers can reliably switch out blood-work based GGT results for those from a supervised learning model. Keywords: insurance, underwriting, gamma-glutamyl transferase, imputation, supervised learning…”
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Machine Learning–Based Detection of Network Failures in Core Network Cellular Data by Fita, Gospel Antonio

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Deep Learning-Based Change Detection in High-Resolution Remote Sensing Imagery by Badawy, Hazem

“…This thesis investigates the complex problem of change detection in remote sensing imagery by proposing two novel deep learning frameworks: transformer change detection network (TrCD- Net) and triple attention network (TANet), each designed to capture nuanced transformations across multi-temporal datasets through distinct modeling strategies. …”
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A Kirkpatrick evaluation of computer-integrated learning support material for technology education

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Sentiment analysis using unsupervised learning for local government elections in South Africa

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Investigating the efficacy of XML and stylesheets to render electronic courseware for multiple learning styles by Du Toit, Masha

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A neurocontrol paradigm for intelligent process control using evolutionary reinforcement learning by Conradie, Alex van Eck

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Tools for learning: a socio-cultural analysis of pedagogy in early reading competency by Harrison, Giulietta Domenica

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Supporting the teaching of mathematics by information technology in a co-operative learning environment

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A Comparison Between Machine Learning Techniques to Find Leaks in Pipe Networks

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Jump detection tests in financial time series ? a deep learning approach by Wagener, Justin

“…Bates, Merton and Stochastic Volatility double Jump (SVJJ) models provide the data used for comparison. For supervised learning, synthetic data is essential as jump labels are needed for training. …”
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WELL-Learning : Promoting learner well-being through deployable schooling infrastructure

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