Deep learning approaches for fingerprint localization in low-power wide area networks

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Positioning emergent professional learning as catalyst for meaning making in agile work praxis

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Cellists’ experiences of learning and teaching body mapping for musicians: an interpretative phenomenological analysis by Reyneke, Amalia

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The application of informal feedback intervention as a communication management tool in learning organisations

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Multi-modal automated major depressive disorder detection by Shumba, Sandura

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Wiskundekurrikulumontwikkeling vir die senior sekondere fase

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

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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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Climate change adaptation and resilience building among smallholder rural women farmers in Chiredzi District, Zimbabwe: case of ZRBF-ECRAS project by Made, Chiedza Daina

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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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Genetic Programming Approach for Nonstationary Data Analytics

Subjects: “…Machine learning…”
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