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

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

“…The notion of 'opportunity to learn' proposes that learners cannot be held accountable for their performance in such assessments if they have not been provided with the opportunity to learn the content assessed. …”
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Rail surface anomaly detection : a deep learning . approach for computer vision

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

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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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The counter test : assessment in a multi-cultural context by May, Michelle S

“…It is proposed that this results from the underlying assumptions of conventional tests. Contextual models (which argue that cognitive ability is socially determined) and research pertaining to Piagetian theory argue that understanding children's socio-ecological contexts, as well as their underlying cognitive processes, enhances assessment of cognitive ability/ competence. …”
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Investigating teaching and learning support for students with hearing impairment at a university in the Western Cape by Bell, Diane

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Genetic Programming Approach for Nonstationary Data Analytics

Subjects: “…Machine learning…”
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Detecting Electrical Submersible Pump (ESP) Failures and Estimating Run Life Using Artificial Neural Networks by Sobhy, Mostafa Ahmed

Subjects: “…Models…”
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