Modelling non-linearity in 3D shapes: A comparative study of Gaussian process morphable models and variational autoencoders for 3D shape data by Fehr, Fabio

“…This problem is regularly acknowledged, but disregarded, as it is assumed that linear models are able to adequately approximate such non-linearities. Model reliability is crucial for medical imaging and computer vision tasks; however, prior to modelling, the non-linearity in the data is not often considered. …”
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Supporting the SMME sector for sustainable growth and development- in the Northern Cape province by Packirisamy, Kuberin

“…The quantitative methodologies approach was built on the Partial Least Squares Structural Equation Model to analyse the model's reliability, and validity, by analysing the measurement model and hypothesis testing predictiveness by analysing the structural model utilising Smart PLS vers3 software. …”
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Effects of the four realms of experience on pleasurable pop-up retail and patronage intention

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Towards answering unanswerable questions: data augmentation for enhanced medical domain question answering by Alexander, Natalie

“…In addition, we ensure model reliability by applying answer abstention when the text-to-SQL model cannot reliably answer a question, while also ensuring that the model does not deteriorate the answerability of the original answerable questions. …”
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In-Stream water quality modelling and optimisation by mixed-integer programming : simulation and application in actual system

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Maintenance task and frequency optimisation of single- and multi-component equipment in an FMCG production environment by Lemmer, Kyle Duane

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Altman Z-Score Models and predicting financial distress: Empirical study of delisted mining stocks on the Johannesburg Stock Exchange by Matanga, Nigel

“…Key findings indicate that both models reliably predict delisting of mining companies on the JSE when the horizon is only a year in the future. …”
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Predicting household poverty with machine learning methods: the case of Malawi by Chinyama, Francis

“…Area under the Curve, Receiver Operating Characteristic curve, recall, precision, F1 score, Matthews Correlation Coefficient and Cohen's Kappa scores confirmed the classification models' reliability. The study, therefore, established that poverty can be predicted by open-source machine learning algorithms using a substantially reduced number of features with accuracy comparable to using the full feature set. …”
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Risk-based interruption cost index based on customer and interruption parameters by Dzobo, Oliver

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Application of the SWAT hydrological model in a small, mountainous catchment in South Africa

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Using probability density functions to analyze the effect of external threats on the reliability of a South African power grid by Edimu, Milton

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Reliability modelling of complex systems

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Model uncertainty in the prediction of crack widths in reinforced concrete structures and reliability implications by McLeod, Christina Helen

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A catalytic model for SARS-CoV-2 reinfections : performing simulation-based validation and extending the model to include nth infections by Lombard, Belinda

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Analytic models of TCP performance by Kassa, Debassey Fesehaye

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