Immersion cooled environmental monitoring and prediction system for the meerKAT imager by Hotele, Apiwe

“…From the experiments it was found that the ICTP had a mean error of 0, 0083, standard deviation of 2, 56 and predicted standard deviation of 2, 44 for predicting hotspots.…”
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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 techno-economic aspects for the qualification of sustainable reconditioning and spheroidisation of Titanium Alloy (Ti6Al4V) powder for additive manufacturing by Dube, Tsepo Maqhetuka

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Model based fault detection and isolation approach for actuator and sensor faults in a UAV by Madutlela, Potego

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Calibration, recognition, and shape from silhouettes of stones by Forbes, Keith

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A study of the representational use of aggregates in the pedagogic elaboration of addition and subtraction in the Department of Basic Education Grades 1 to 3 Numeracy workbooks, pr... by Wust, Heidi

“…The central concern is the computational processes that use discrete aggregates, and operations over such aggregates. …”
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n Hulpprogram in optel vir leerlinge met wiskundeprobleme : 'n kognitief-teoretiese perspektief

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A comparison between stall prediction models for axial flow compressors by Gill, Andrew

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A cut-cell, agglomerated-multigrid accelerated, Cartesian mesh method for compressible and incompressible flow

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State estimation and model-based fault detection in a submerged arc furnace by Kristensen, Isabella

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The utilisation of whole exome sequencing to dissect the genetic aetiology of familial Parkinson’s disease in a South African Afrikaner family by Sebate, Boiketlo

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Analytical modelling and design optimisation of the Eddy Current Slip Coupler by Erasmus, Abraham Stephanus

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The optical polarization variability of the blazar PKS 2155 304 by Peceur, Nicolette

“…The nearly zero lag between the synchrotron (optical and X≠ray) and Inverse Compton (high energy) emission components indicates that the same electron population is responsible for the emission. When computing the temporal structure functions of the multiband light curves, I found that the multiwavelength emission can be described by a power-law spectral density function, with an index of –1.5 for the radio, –1.3 for the optical, –0.6 for X≠rays and –1.0 at high energies. …”
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Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station by Arwa, Erick Odhiambo

“…It was also observed that such a restriction may come with compromise of computational speed and scalability. Of the four algorithms analyzed, the A2C was found to produce a power schedule with the lowest global cost and the best usage of the battery energy storage system.…”
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The effect of psychological empowerment on withdrawal behaviours as mediated by organisational citizenship behaviour and work engagement in a South African military university by Semenya, Linda Dineo

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Investigation of polymer grade blending in Ziegler-Natta Catalysed ethylene polymerisation systems by Nacerodien, Mogamat Thaabit

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Inclusion Studies of Metal-Organic Hosts by Potts, Storm Victoria

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Particle filtering on hybrid dynamical systems for sensor fault detection by Loubser, Simone Diana

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Nutrition education message topics and accessibility for the well-being of infants in an urban slum area by De Villiers, Anniza

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