Whole Brain® thinking action-research in a coding and robotics curriculum for Grade 4

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Latent approaches for unsupervised learning-based methodologies in gearbox fault diagnosis applications

Subjects: “…Latent variable models…”
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A corpus-based analysis of code-switching in the oral discourse of Shona-English bilinguals

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Exploring methodologies for assessing the outcome of soil management practices in Unilever's Sustainable Agriculture Code by Day, Mark

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A study of the Namibian transitional language policy in education and the role of code-switching in achieving it by Kela, Judith Namubi

“…The study recommends that the policymakers must involve educators when developing the policies and ensure that educators are trained in policymaking, orthography of two common languages such as Subiya and Sifwe must be developed since students in the Zambezi Region are not taught in their mother tongue but rather in Silozi, the lingua Franca of the Zambian origin, educators must be given a pre-service and in-service training by the Ministry of Education on how to deal with code-switching or formulate a language policy that includes code-switching since it is considered a powerful teaching tool during the transition phase, teaching and learning material resource shortages within schools should be addressed by the Ministry of Education.…”
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Low impedance characterisation and modeling of high power LDMOS devices by Malan, Pieter Jacob De Villiers

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Link prediction in knowledge graphs using latent feature modelling and neural tensor factorisation by Magangane, Luyolo

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Towards a human-machine integrated model for organisational knowledge creation - a case for knowledge-enriched machine learning by du Plessis, Susanna Johanna

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Development of a best practice model for teaching and learning evidence-based health care at Stellenbosch University, South Africa by Young, Taryn

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Emotion recognition from Bangla dialect speech using privacy-aware deep learning models: a comparative analysis

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'Raissing’ Teacher Practice: A Case Study of a Living Model of Professional Learning In Mentoring Pre-Service Teachers

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Paper 16: A Hybrid Neuro-Fuzzy and Machine Learning Model for Student Performance Prediction in Online Mathematics Education

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A multiscale, Bayesian inference approach to augment mechanistic models of cell signaling with machine-learning predictions of binding affinity

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Comparative Analysis of Pre-trained based CNN-RNN Deep Learning Models on Anomaly-5 Dataset for Action Recognition

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Modeling Non-linear Time of Concentration in Heterogeneous Catchments: A Comparative Study of SVR and ANN Machine Learning Approaches

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The management of school safety with reference to drugs in public schools

Subjects: “…Code of conduct…”
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Critical normal traffic loading for flexure of bridges according to TMH7 by Malan, Andreas Dawid

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Assessment of slender square/rectangular CFDST columns subjected to eccentric loading by Kalake, Refiloe

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Response of Ultra-Thin Continuously Reinforced Concrete Pavement to traffic loading

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