Minimum connecter of pipelines from Tema/Takoradi to all the regional capitals of Ghana by Galley, John Torgbui

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Functional quantization-based stratified sampling by Platts, Alexander

“…We show that product quantizers are a suitable approximation of an optimal quantizer for the formation of functional quantizers. …”
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Modelling electricity load scheduling and retailer decision-making

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A retrospective review of Granulomatous Interstitial Nephritis (GIN) amongst HIV-infected patients at Groote Schuur Hospital, Cape Town by Nel, Debbie

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A systematic approach to the tuning of multivariable Dynamic Matrix Control (DMC) controllers

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Subword segmental neural language generation for Nguni languages by Meyer, Francois Rolihlahla

“…We propose subword segmental modelling, a neural architecture and training algorithm that learns subword segmentation during training. …”
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Modelling of Antenna Responses by Mutonkole, Ngoy

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Operational scheduling and investigative planning for electric public transport in South Africa by Wüst, Jacques

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Digital soil mapping techniques across multiple landscape scales in South Africa by Trevan, Flynn

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Anti-lock braking system performance on rough terrain

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A framework for estimating risk by Kroon, Rodney Stephen

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Lymphoma: Understanding the diagnostic challenges and improving outcomes in a TBand HIV-endemic area by Antel, Katherine Rae

“…(ii) Investigate the diagnostic utility of the newest TB diagnostic test (the Xpert MTB/RIF Ultra); and apply this test in a diagnostic algorithm for lymphadenopathy of unknown aetiology, both on a fine-needle aspirate (FNA) from a lymph node and on tissue obtained by corebiopsy. …”
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Satellite change detection in the albany thicket biome by Mahlasi, Craig

“…Finally, it was shown that using meta-learning the TempCNN can be adapted to be robust in shifting domains by learning the most optimal parameter initializations that allow for capturing the invariant embeddings that facilitate generalisation across domains possible.…”
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The performance of coevolutionary topologies in developing competitive tree manipulation strategies for symbolic regression by Ombura, Martin

“…We adopt a hybrid evolutionary algorithm (EA) that implements the tree based phenotypic structure of genetic programming (GP) and the list-based chromosome of genetic algorithm (GA) that permits embedding of mathematical tree manipulation (MTM) strategies, as well as adequate selection mechanisms for search. …”
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Parameter learning with particle filters by Pather, Vegan

“…This dissertation aims to test the effectiveness of a possible algorithm which can be used in optimally identifying such times. …”
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Organic codes and their identification : is the histone code a true organic code by Kühn, Stefan

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Sensitivity analysis of multilayer neural networks by Engelbrecht, Andries Petrus

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Using Hybrid Machine learning Models for Stock Price Forecasting and Trading. by Khalil, Ahmed

“…Recently, the focus increased on using Machine learning models to predict stock prices and algorithmic trading as currently there is a huge amount of data that can be processed and used to forecast and trade stocks. …”
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