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

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Empirical modelling in non-linear predictive control : a coffee roaster application

Subjects: “…Model predictive control…”
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Implementation of machine learning techniques for railway wheel prognostics by Du Plessis, Johannes Andreas

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Training neural word embeddings for transfer learning and translation by Gouws, Stephan

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Evaluating the effectiveness of neural network techniques in the forecasting of South African basic fuel prices by Kingwill, Russell

Subjects: “…Machine learning…”
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Array completion methods for thermodynamic data generation by Middleton, Francesca

Subjects: “…Thermodynamic models…”
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FPGA accelerated radio galaxy classification with a Fourier convolutional neural network by Edwards, Barend Jacobus

Subjects: “…Machine learning -- Mathematical models…”
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The effect of learning and cost optimization on line of balance scheduling by Zahran, Kareem Essam

“…Furthermore, a hypothetical case study was applied to verify the developed approach and to prove that the model gives accurate results. The developed tool proved to provide the planner/scheduler with near optimum costs, durations, and resources due to applying learning and cost/time optimization. …”
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Characterizing the digital planetarium as a teaching and learning space by Sivitilli, Alexander

“…By combining both models with the explanatory power from WM and CLT, a Model for Curriculum Design in the Planetarium (MCDiP) was developed to systematically shape the digital planetarium as an effective teaching and learning space.…”
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Classification of Selected Cardiac Abnormalities through Machine Learning. by Murugan, Kalavaani

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The relationship between financial literacy, economic measures and delayed gratification in South African high school learners

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Evolutionary algorithms for optimising reinforcement learning policy approximation by Cuningham, Blake

“…The approach found models that were able to train reinforcement learning agents faster, and with fewer parameters than that found by OpenAI’s model in Blackwell et al. (2018) - a superhuman level of performance.…”
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A critical-hermeneutical inquiry of schools as learning organisations by Beukes, Cecil Joseph

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Student perceptions of blended learning interventions in teaching auditing

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Classification of customer complaints using machine learning algorithms by Kgomo, Teballo

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The role of tutor development in a flexible learning system by Grundling, Gertruida Jeanette

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Exploration of reinforcement learning algorithms implemented in the Wrapslide environment by Jordaan, Ruan

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Optimizing learning & teaching on paediatric ward rounds by Mantzor, Savarra

“…Based on the findings from this study, a structured bedside teaching model, specifically SNAPPS, offers a holistic approach to maximize learning and teaching, addressing several learner and environmental needs concurrently. …”
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Intelligent elevator control based on adaptive learning and optimisation by Jordaan, Edzard Adolf Biermann

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Dirty learning : innovative teaching on the World Wide Web

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