Design and Evaluation of an AI-Driven Pipeline for Synthetic Tabular Data Generation by Sims-Handcock, Chad Calvin

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A neurocontrol paradigm for intelligent process control using evolutionary reinforcement learning by Conradie, Alex van Eck

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Segmenting bank customers using similarities in current account dynamics to improve daily bank balance forecasting

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Multi-objective optimisation under deep uncertainty by Shavazipour, Babooshka

“…Moreover, during the long-term calculations, we noticed that the two-stage algorithm failed to find the optimal solutions for some iterations while the three-stage algorithm found the optimal value in all cases. …”
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Monitoring and diagnosis of process systems using kernel-based learning methods by Jemwa, Gorden Takawadiyi

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Analysis of land cover changes of the Hartebeesthoek Radio Astronomy Observatory environment over five decades

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Stabilization of a rotary wing unmanned aerial vehicle with an unknown suspended payload by Erasmus, A. P.

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Biomedical image analysis of brain tumours through the use of artificial intelligence by Di Santolo, Claudia

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Modelling and multi-objective optimisation of heat transfer characteristics and pressure drop of nanofluids in microtubes

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Methods to extract maximum electrical energy from PV panels on the earth's surface by Bekker, Bernard

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Optimising UAV photogrammetry for forest structure assessment and silvicultural planning by Seifert, Erich

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LTE network slicing and resource trading schemes for machine-to-machine communications by Gendy, Sylvia Nader

“…In the second part of the thesis, we introduce a novel resource trading scheme that allows sharing operators to trade their radio resources based on the varying needs of their clients with time. The Genetic Algorithm (GA) is used to optimize the resource trading among the virtual operators. …”
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Supply-friendly single phase uninteruptible power supply by Mills, Carlo Juan

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Unsupervised anomaly detection for the ATLAS Level-1 Trigger by Stern, Thomas

“…Furthermore, a preselected background may introduce bias into the detection algorithm, thereby reintroducing model dependence. …”
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A population Monte Carlo approach to estimating parametric bidirectional reflectance distribution functions through Markov random field parameter estimation by Louw, Markus

“…It is also found that the sets of samples representing the posterior distributions over the MRF parameter spaces are better features for material surface classification than the optimal MRF parameters returned by multiple-seed Levenberg-Marquardt minimization algorithms, which are configured to find the same MRF parameters. …”
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Interlandmark measurements from lodox statscan images with application to femoral neck anteversion assessment by Chimhundu, Chipo

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The influence of fibre spatial characteristics on the flexural performance of SFRC

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FD-TD synthesis and resonance based identification of GPR returns from buried land-mines by Van der Leij, Willem Rienk

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Bore sight error analysis in seeker antennas : a fully functional GUI interfaced ray tracing solution by Barnard, Daniel David

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Assessing OpenGL for 2D rendering of geospatial data

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