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

Subjects: “…Model predictive control…”
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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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Understanding beneficiaries’ experiences of quality in early learning centres

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

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Classification of Selected Cardiac Abnormalities through Machine Learning. by Murugan, Kalavaani

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

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‘n Analise van oordragdinamiek, leerfasilitering en praktyk in ‘n Nagraadse Sertifikaat in Hoër Onderwys (Afrikaans)

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

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

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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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Exploring assessment for learning in one higher education classroom by Koen, Magaretha Paulina

“…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 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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Fruit detection in an orchard using deep learning approaches by Koech, Kiprono Elijah

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Building identification in aerial imagery using deep learning by Nakiranda, Proscovia

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Machine learning in predictive analytics on judicial decision-making by Pienaar, Celia

“…Legal professionals globally are under pressure to provide ‘more for less' – not an easy challenge in the era of big data, increasingly complex regulatory and legislative frameworks and volatile financial markets. …”
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Improving machine learning techniques for influenza-A classification by Shaltout, Nermin Ashraf

“…The final results showed that: (a) DNA data is more sensitive than Protein data when using both subtypes. …”
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Social and cognitive dimensions of language in the learning of introductory accounting

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Computer integration teaching and learning in a middle school

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