Rail surface anomaly detection : a deep learning . approach for computer vision

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Rail surface anomaly detection : a deep learning approach for computer vision

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Action research on implementing Whole Brain® hybrid learning in private higher education

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Language and the opportunity to learn science in bilingual classrooms in the Eastern Cape, South Africa by Probyn, Margaret Joan

“…In addition a skilled teacher was able to effect a bridging discourse that supported learners in moving from everyday language and understandings to scientific language and understandings; from practical to theoretical knowledge; and from oral to written modes. These are necessary conditions for all learners to be afforded the opportunity to learn science. …”
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Die ontwikkeling van 'n psigometriese instrument om die leerbenadering van volwassenes te bepaal (Afrikaans)

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Multimodal morphological classification of radio galaxies by Farge, Dylan Richard

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Latent analysis of unsupervised latent variable models in fault diagnostics of rotating machinery under stationary and time-varying operating conditions

Subjects: “…Latent Variable Models…”
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The impact of staff development interventions on teaching and learning at a South African Technikon by Harvey, Irene J. Sass

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The role of toy libraries in the provision of play-based learning opportunities for young children

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Experiences of clinical educators on barriers and enhancers in the facilitation of nursing students’ clinical learning by Shipman, Reinet

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The theory and practice of undergraduate nursing ethics education programs in South Africa and Namibia : a critical appraisal by De Villiers, Josephine Elizabeth

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Empirical Analysis ot the Top 800 Cryptocurrencies using Machine Learning Techniques by Riedl, Anna Teresa

“…The data set is used to build supervised and unsupervised machine learning models. The prediction accuracies varied amongst labels and all remained below 90%. …”
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Dynamic Hand Gesture Recognition Using Ultrasonic Sonar Sensors and Deep Learning by Lin, Chiao-Shing

“…These six channels are used as inputs to the deep learning models. Two different deep learning algorithms were used to classify the hand gestures; a Doppler biLSTM network [1] and a CNN [2]. …”
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Machine learning approach to slice admission control in 5G wireless network by Ojijo, Mourice

“…The thesis introduces inter-domain resource models for n-class zoned 5G slices. By increasing the probability of admission during periods of resource availability, the findings demonstrate that the reinforcement learning agent improves long-term utility and fairness by 68.2%. …”
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Open-set learning with augmented category by exploiting unlabelled data (Open-LACU) by Engelbrecht, Emile

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A comparison framework for deep learning RFI detection algorithms in radio astronomy by Du Toit, Charl

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Wiskundekurrikulumontwikkeling vir die senior sekondere fase

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The Development of a Reduced Order Model for Prediction of Haemodynamic and Biochemical Changes in a Computational Cerebral Aneurysm Thrombosis Model by Ngwenya, Tinashe

“…The CFD results were used to build reduced-order models using machine learning algorithms. Multiple polynomial regression and logistic regression machine learning algorithms were used to predict clot size in patients. …”
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Linkages between emotional intelligence and coping strategies in mastering new educational technologies

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