The development of a technology-enhanced, brain-based framework for science education : a South African case study

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Being declared competent : perspectives of oral hygiene students on clinical performance assessment

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Disruption by dissociation : exploring human-centred design through transformative engagement in the spatial design studio

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Using I.T. (information technology) to drive business value

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An exploratory study of medical students’ experiences of going on home visits to persons with disabilities within a rural primary health care setting by Van Zyl, Maria Elizabeth

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Evaluating convolutional neural networks and transformer architectures for image-based prediction of protein localization in eukaryotic cells by Msipa, Sibongiseni Letticia

“…Visualization techniques (Grad-CAM in CNNs and attention maps in transformers) confirmed that well- performing models localize salient features to biologically relevant regions, suggesting they learn meaningful morphological cues Conclusion: These results underscore CNNs' suitability for subcellular localization analysis with moderate-scale datasets, while transformers may require more extensive tuning or larger training sets to reach comparable accuracy. …”
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Approximate message passing algorithms for latent Dirichlet allocation by Taylor, Rebecca

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Strategies and guidelines for educators to deal with behaviour problems by Horne, Debra Theupiena

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The transition of Public Adult Learning Centres (PALCs) to Community Education and Training Colleges (CETCs): Perspectives and experiences of a selection of management and lecturer... by Mginywa, Nondumiso

“…The growing number of unemployed youths that are not in learning institutions as well as the limited opportunities provided by the pre-existing Public Adult Learning Centres (PALCs), set the context for the transitioning of PALCs into CETCs. …”
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Interactive Expert System for Budgeting World Bank Consultancy Projects by Rafat, Yosra

“…Furthermore, the ensemble method, a composite meta-algorithm model, was then applied in order to create a more robust classifier by combining several machine learning models into a single predictive model where each classifier votes and provides a final prediction label based on the majority of the voting. …”
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Exploring the class imbalance problem in text classification by Bezuidenhout, Jean-Pierre

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South African novice drivers: exploring hazard perception development during the learner driver training phase by Venter, Karien

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Remedying unemployment through affirmative development : the validation of the prediction model and qualitative assessment of an employment accelerator programme by De Kok, Marinus Bertus

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A framework for quantifying and characterising road accident risk : a data mining approach by Van Heerden, Shane Andrew

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Multi-fidelity parameter tuning of parallel Monte-Carlo tree search variants by Mouton, Alexander

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A hyperheuristic approach towards the training of artificial neural networks by Nel, Gerrit Stephanus

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A deep convolutional neural network architecture for image classification by Pretorius, Willem Lodewikus

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An intervention to combat plant blindness in Life Sciences educators

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A robust intelligent readiness framework for ransomware forensics

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