Deep learning based methods for tuberculosis cough classification by Frost, Geoffrey

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A learning theory approach to students' misconceptions in calculus by Bowie, Lynn Heather

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Violence, primary school learning and development in the Cape Flats township of Mitchells Plain: a case study of exposure to violence and its implications for children's' learning... by Kampfer, Judine Pearl

“…The research approach made use of a qualitative case study of two primary schools, each situated in a different socio-economic area of Mitchell's Plain. …”
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The management of teaching and learning of street children in Gauteng schools

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A Machine Learning Model for Octane Number Prediction by Spencer, Victor

“…The recommendation for this study is to train the models with a more representative data set in future and to use a hybrid model which comprises of a phenomeno-logical model and a machine learning model for best results and to reduce the bias of the model in the regions with few data points. …”
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Esports betting technology: machine learning for match prediction and odds estimation by du Plessis, Henri Izak David

“…It was found that incorporating a large number of statistics did not significantly improve predictive accuracy when compared to models using fewer, more important features. It was also found that LAN matches and best-of-3 map formats are more predictable than their counterparts. …”
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Prediction of mobile network subscriber satisfaction by using network probing experience measures and machine learning by Kruger, Martin

“…In addition, we find that all tested machine learning models, whether linear or non-linear, are poor predictors of NPS. …”
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‘n Analise van oordragdinamiek, leerfasilitering en praktyk in ‘n Nagraadse Sertifikaat in Hoër Onderwys (Afrikaans)

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The role of the learning support teacher in facilitating learner engagement by Van der Linde, Elzahn Amanda

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Student perceptions of blended learning interventions in teaching auditing

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Solving sparse-reward problems in partially observable 3D environments using distributed reinforcement learning by Louw, Jacobus Martin

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Organisational learning and dynamic Capabilities : a case study

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Machine learning in predictive analytics on judicial decision-making by Pienaar, Celia

“…Legal professionals globally are under pressure to provide ‘more for less' – not an easy challenge in the era of big data, increasingly complex regulatory and legislative frameworks and volatile financial markets. …”
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Deep Learning-Based Brain Tumour Detection and Classification by Liza, Ansu

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The effect of learning and cost optimization on line of balance scheduling by Zahran, Kareem Essam

“…This framework achieves several objectives such as (1) improving the performance of the LOB scheduling by considering the learning effect to develop more realistic schedules, (2) supporting decision makers in achieving schedules that would optimize time and cost, and (3) incorporating actual performance data on site by continuously updating the learning rates based on actual data extracted from monitoring activities on site. …”
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