Sensitivity analysis of multilayer neural networks by Engelbrecht, Andries Petrus

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The development of a retrospective neonatal clinical audit tool for transfers: a modified delphi study by Venter, Maryna

“…The clinical audit tool was developed through literature-based evidence, and validated for content through the contributions of a national multidisciplinary panel of experts in the field of neonatal retrieval. The utilisation of the audit tool in the framework of a robust clinical governance system, would enable reporting of adverse events according to standardised parameters. …”
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Assessment of the capabilities of two polar sPC-SAFT terms through application to measured ketone-alkane phase equilibria data by Cripwell, Jamie Theo

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Deep Calibration of Option Pricing Models by Dadah, Sahil

“…This is followed by applying the pre-trained model in a calibration procedure to fit the model parameters to a set of market observables. The neural networks are trained using simulated data and an optimum set of hyperparameters is obtained via the Bayesian optimization. …”
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Exploring managed aquifer recharge as a nature-based solution to water diversification in the Goukou River catchment by De Witt, Marlene

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Data modelling & Bayesian model comparison with spherically symmetric priors by Jamodien, Riyaadh

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Drivers of direct cost of inpatient care for HIV-infected adults at Amajuba Memorial Hospital, Mpumalanga

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Genetic Programming Approach for Nonstationary Data Analytics

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Fast accurate diphone-based phoneme recognition by Du Preez, Marianne

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Particle selection and parameterisation in virtual reality by Keren, Gil Boaz

“…However, the study found mixed outcomes regarding parameter tuning, showing minor improvements in accuracy but a similar minor decrease in efficiency, suggesting a possible tradeoff between the two and that further research is needed to optimise parameter adjustments for task performance. …”
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The prediction of the emission spectra of flares and solid propellant rockets by Barnard, Paul Werner

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Influence of catalyst ink mixing procedures on catalyst layer properties and in-situ PEMFC performance by Jacobs, Clayton Jeffrey

“…Overall, fuel cell performance is not significantly affected by the mixing step however; mixing does have an observable impact on catalyst layer formulation. Generally, when optimizing membrane electrode assembly fabrication, mixing parameters should be carefully chosen. …”
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Discrete element method (DEM) calibration of wet materials for bulk handling. by Scheffler, O. C.

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Evaluation of the methacrylamide/ N’N,-methylenebisacrylamide binder system for gel-casting of titanium powder by Erasmus, W.

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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

“…Reinforcement learning (RL) is a model-free optimization approach that can learn solar PV behaviour and store and reuse optimization information for future optimization tasks. …”
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Level Dependence in Volatility in Linear-Rational Term Structure Models by Ramnarayan, Kalind

“…Parameters are estimated using an unscented Kalman filter in conjunction with quasi-maximum likelihood. …”
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Using full field data to produce a single indentation test for fully characterising the mooney rivlin material model. by Van Tonder, John Dean

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Development and testing of climate-sensitive site index models for long rotation Eucalyptus grandis in Limpopo province of South Africa by Venter, Kuno

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A fundamental analysis on additive manufacturing of a cemented tungsten carbide by Van Staden, Andries Coetzee

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A new connectivity strategy for wireless mesh networks using dynamic spectrum access by Maliwatu, Richard

“…It is found that individual radios perform differently depending on the operating parameter settings, namely channel, channel-width and transmission power subject to prevailing environmental (both spectral and topographical) conditions. …”
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