The usefulness of the van Hiele model for geometric reasoning in Engineering Graphics and Design

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Deep learning for supernovae detection by Amar, Gilad

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Convolutional and fully convolutional neural networks for the detection of landmarks in tsetse fly wing images by Makhubele, Mulanga

Subjects: “…Tsetse fly populations -- Mathematical models…”
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Learning to Coordinate Efficiently through Multiagent Soft Q-Learning in the presence of Game-Theoretic Pathologies by Danisa, Siphelele

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Using GeoGebra in transformation geometry : an investigation based on the Van Hiele model

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Teaching mathematics to oral hearing impaired learners in an inclusive environment

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Landscape analysis-based automated algorithm selection by Lang, Ryan Dieter

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Preconditioning for feature selection in classification by Pretorius, Jani

Subjects: “…Supervised learning (Machine learning)…”
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Dental implant recognition by Kohlakala, Aviwe

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

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Optimizing COVID-19 control measures using multi-objective deep reinforcement learning by Folarin, Arinze Lawrence

“…The goal of this study is to improve COVID-19 control measures through the use of multi-objective deep re- inforcement learning techniques. The results of two case studies, one using a Pareto conditioned network on COVID-19 data from Belgium and the other using a Deep Q-Network, Goal-DQN, and Non-dominated Sorting Genetic Algorithm (NSGA-II) on COVID-19 data from France, are evaluated using both binomial (Stochastic) and Ordinary Differen- tial Equation mathematical models. …”
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Effective implementation and governance of association rules in credit scoring and default management by Landy, Angelique

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Support vector machines, generalization bounds, and transduction by Kroon, Rodney Stephen

Subjects: “…Machine learning…”
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Informing the facilitation of Mathematics in the senior phase using Herrmann’s Whole Brain® theory

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Teaching strategies used by mathematics teachers to teach Grade 6 probability in Nkangala District

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Bayesian learning of regularized Gaussian graphical networks

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Health professional educators’ needs regarding strategies in the implementation of a learning management system

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A Bayesian approach to energy monitoring optimization

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The effect of a problem based learning approach on the teaching and learning of composition and inverses of functions in a foundation programme by Chirimbana, Moses

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