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Exploring assessment for learning in one higher education classroom
Published 2011“…This study aimed at using appropriate measures to conduct research to establish a chain of evidence (forward and backward) by implementing Lincoln and Guba's model for trustworthiness (1985). The conceptual framework for this study was mainly drawn from Race.s spreading ripples model of learning. …”
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Biologically motivated reinforcement learning in spiking neural networks
Published 2023“…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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Fruit detection in an orchard using deep learning approaches
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Building identification in aerial imagery using deep learning
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Effects of Trypanosoma brucei brucei on spatial learning and memory
Published 2023“…Studies on the Trypanosoma evansi infection mice model has shown that in addition to the sleep disorder caused by trypanosomiasis disease, learning and memory formation were impaired. …”
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The experiences of learning support unit managers and students in London
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Project Leanness Score: A Machine Learning Approach
Published 2022“…Fifth, training and validating models using machine learning algorithms such as regression, decision trees, and artificial neural networks to predict the schedule and budget performance of construction projects using the factors of the leanness score. …”
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The management of teaching and learning of street children in Gauteng schools
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Learning industrial descriptions : NLP tasks for acronym expansion
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End-to-End Autonomous Quadcopter using Reinforcement Learning
Published 2024“…This thesis investigates the potential of Reinforcement Learning (RL) for achieving robust and adaptable quadcopter control, focusing on trajectory and attitude stabilization. …”
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On noise regularised neural networks: initialisation, learning and inference
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Esports betting technology: machine learning for match prediction and odds estimation
Published 2025“…This research therefore demonstrates how machine learning models can be used for esports match prediction, with practical applications in the online betting industry.…”
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Prediction of mobile network subscriber satisfaction by using network probing experience measures and machine learning
Published 2025“…In addition, we find that all tested machine learning models, whether linear or non-linear, are poor predictors of NPS. …”
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Violence, primary school learning and development in the Cape Flats township of Mitchells Plain: a case study of exposure to violence and its implications for children's' learning...
Published 2020“…I used Bronfenbrenner's ecological models to explain the impact exposure to violence has on human development and cognitive growth within an ecological system. …”
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