Does IEB make the grade? Alternative testing methods and educational outcomes: The case of the IEB in South Africa by Hill, Robert

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Exploring parental involvement in the educational support of their child with learning difficulties in a low income community by Adele, Pool

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Evaluating the impact of adjunctive integrated case-based dental teaching and learning on clinical reasoning in a discipline-based teaching and learning environment

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The design and evaluation of a cognitive skills assessment checklist for educators by Coosner, Carroll Diane

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Biologically motivated reinforcement learning in spiking neural networks by Rance, Dean

“…I consider the problem of Reinforcement Learning (RL) in a biologically feasible neural network model, as a proxy for investigating RL in the brain itself. …”
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Organisational learning and monitoring and evaluation in project-based organisations by Chipato, Ngonidzashe

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Visually grounded speech models for low-resource languages and cognitive modelling by Nortje, Aletta Susanna Elizabeth

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Deep Learning-Based Brain Tumour Detection and Classification by Liza, Ansu

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Intelligent elevator control based on adaptive learning and optimisation by Jordaan, Edzard Adolf Biermann

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Array completion methods for thermodynamic data generation by Middleton, Francesca

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A critical-hermeneutical inquiry of schools as learning organisations by Beukes, Cecil Joseph

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Using deep learning to classify community network traffic by Matowe, Chiratidzo

“…Numerous studies on traffic classification make use of the Machine Learning (ML) and single Deep Learning (DL) models. …”
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End-to-End Autonomous Quadcopter using Reinforcement Learning by Chawa, Mohamed Marwan

“…RL, on the other hand, learns to adapt its control strategy based on the environment, making it more robust to such disturbances. …”
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Training neural word embeddings for transfer learning and translation by Gouws, Stephan

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Autonomous racing on unseen tracks using reinforcement learning by Jefferies, Devin Wayne Patrick

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On noise regularised neural networks: initialisation, learning and inference by Pretorius, Arnu

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Prediction of mobile network subscriber satisfaction by using network probing experience measures and machine learning by Kruger, Martin

“…In addition, we find that all tested machine learning models, whether linear or non-linear, are poor predictors of NPS. …”
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Feature engineered embeddings for machine learning on molecular data

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The application of machine learning for computational electromagnetic solver selection by De la Bat, Willem

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Multilingual preschool learners: a collaborative approach to communication intervention

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