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

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Application of machine learning in the classification of area potential for transaction forecasting using regression analysis in two regions of the Johannesburg conurbation by Masola, Kabelo Charles

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Simplified approaches for portfolio decision analysis by Kantu, Dieudonne Kabongo

“…These are generally computationally-intensive algorithms that require substantial amounts of information from the decision maker, and in return yield portfolios that are provably optimal or optimal within certain bounds. …”
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Autonomous aerobatic flight of a fixed wing unmanned aerial vehicle by Hough, Willem J.

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Effective visualisation of callgraphs for optimisation of parallel programs: a design study by Mabakane, Mabule Samuel

“…The performance of parallel programs is affected by a range of factors, such as limited network bandwidth, parallel algorithms, memory latency and the speed of the processors. …”
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A multi-mode attitude determination and control system for small satellites by Steyn, Willem Hermanus

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An interactive R shiny application for learning multivariate data analysis and time series modelling

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Reinforcement learning for the control of traffic flow on highways by Schmidt-Dumont, Thorsten

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Automation of ultrasonic-based product tracking & traceability in supply chains by Mkombwe, Anorld

“…This dissertation explores optimizing ultrasonic-based systems as wireless sensors for tracking and traceability in SCM and logistics. …”
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Predicting diarrhoea outbreak with climate change by Abdullahi, Tassallah Amina

“…Furthermore, relevance estimation and value calibration (REVAC) was used to tune the parameters of the machine learning algorithms to optimize the accuracy of their predictions. …”
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Development and testing of a laboratory digital controller by Closel, Andre Gerard

“…Finally a brief study was made of the other possibilities of the controller and its algorithms.…”
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Automatic generation of a floor plan from a 3D scanned model: Making the Analogue World Digital by Wilson, Bradlee Kenneth

“…Current research tends to focus on the processing algorithms and not the sensors or methods for capturing the environment. …”
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A highly accessible application for detection and classification of maize foliar diseases from leaf images by Khethisa, Joang Adolf

“…A number of previous studies, utilizing computer vision and machine-learning algorithms, have successfully developed applications that can diagnose crop diseases. …”
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Low-rank completion and recovery of correlation matrices by Ramlall, Chetan K

“…In almost all instances, the method of convex relaxation performed better than spectral methods and achieved the closest and best-fitted low-rank approximations to the true, optimal low-rank matrices (for some rank-n). Furthermore, a dependence was found to exist on which correlation pairs were used as inputs, with the accuracy of the approximations being, in general, directly proportional to the number of input correlations provided to the algorithms.…”
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Performance evaluation of massive MIMO Systems for future wireless access systems by Gahadza, Mutsawashe

“…Simulations to evaluate spectral efficiency for massive MIMO were done in MATLAB. Linear and sub-optimal signal processing methods like minimum mean square error (MMSE), zero forcing (ZF), regularized zero forcing (RZF) and maximal ratio combining (MRC) detection and precoding algorithms with relatively less complexity were evaluated. …”
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An RFI simulation pipeline to help teach interferometry and machine learning by Agbetsiafa, Insight Enya Aku

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A hybrid scavenger grid approach to intranet search by Nakashole, Ndapandula

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Structural analysis in a distributed collaboratory by Van Rooyen, G. C. (Gert Cornelis)

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Topology control in wireless ad hoc networks by Hassan, Ahmed Mohamed Ali Omer

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The preservation of the Cape flora : status, causes of rarity, ideals and priorities by Rebelo, Anthony G

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