Financial management practices of micro, small and medium Enterprises in the Obuasi Municipality. by Nketsia, Rufus Eshun

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Banking regulation: a Bayesian network approach to risk management by Gross, Eden

“…The ever-evolving regulation surrounding banks and market risk, coupled with increased computing power, make for favourable conditions in employing machine learning techniques to estimate and forecast market risk metrics such as value at risk (VaR) and expected shortfall (ES). …”
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Banking regulation: a bayesian network approach to risk management by Gross, Eden

“…The ever-evolving regulation surrounding banks and market risk, coupled with increased computing power, make for favourable conditions in employing machine learning techniques to estimate and forecast market risk metrics such as value at risk (VaR) and expected shortfall (ES). …”
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The performance of the preliminary test estimator under different loss functions

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LABCAT: locally adaptive Bayesian optimization using principal-component-aligned trust regions by Visser, Emile

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Finite element developments and applications in structural topology optimization

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Recommendation Strategies Under Stochastic Supply in Surplus Food Platforms by Abououkal, Salma R

“…Within this framework, we evaluate low-tech, inventory-aware ranking algorithms that dynamically regulate demand allocation, including penalty-based, mixed, and two-stage hybrid strategies. …”
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Development of a land use-based spatial water requirements model for the Berg Water Management Area by Van Der Walt, Marthinus

“…This study was conducted to investigate the requirements for the spatial modelling of current and future water demand in the Berg River Water Management Area in the Western Cape of South Africa in order to produce a prototype model from which annual water requirements could be computed and spatially visualised. To accomplish this the spatial distribution of water demand within the study area was first investigated. …”
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Programmable Aperture Photography: An investigation into applications and methods by Chiranjan, Ashill

“…The fields of digital image processing (DIP) and computational photography are ever growing with new focuses on coded aperture imaging and its real-world applications. …”
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Aspects of Bayesian inference, classification and anomaly detection by Roberts, Ethan

“…BADAC is therefore ideal where computational cost is not a limiting factor and statistical rigour is important. …”
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Assessing the processes of determining adaptation finance needs: a comparative study of African NDCs by Murape, Natalie Tatenda

“…However, most countries struggled to compute these estimates, and only a few managed to indicate both the estimates and costing processes. …”
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AAL2 switching node to support voice services in 3rd and 4th generation networks by Shepstone, Sven E

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Reduced order modeling techniques for mesh movement as applied to fluid structure interactions

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Sylvian fissure size as a predictor of hydrocephalus type in paediatric tuberculous meningitis by Tembo, Jonatha Felix

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Bayesian Neural Networks for Actuarial Mortality Modelling by Moehrke, Patrick Gary

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Numerical indefinite integration using the sinc method by Akinola, Richard Olatokunbo

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Robust place recognition for vision-based SLAM systems using semantic information. by Strauss, March

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