The effect of a structured self-monitoring blood glucose regimen on glycaemic control for type 2 diabetes patients using insulin

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Analysis of the effect of course structure and pattern of usage on the efficacy of online/blended courses by Oosthuizen, Andries Cornelius

“…Finally, most students utilised the LMS and accessed a high percentage of tools in each category. …”
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Metamaterial antennas for cognitive radio applications by Raslan, Ahmed Rajaie

“…Cognitive radio is one of the most promising techniques to efficiently utilize the radio frequency (RF) spectrum. As the Digital Video Broadcasting-Handheld (DVB-H) band is targeted (470-862 MHz), the size of the antenna becomes challenging. …”
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A Proper Orthogonal Decomposition-based inverse material parameter optimization method with applications to cardiac mechanics by Moodley, Kamlin

“…The calibration method combines a MATLAB-based Levenberg Marquardt algorithm with the in-house PODIbased software ORION. …”
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An investigation into higher and partial moment portfolio selection frameworks by Polden, Stuart John

“…It solves the endogeneity issue present in the co-semivariance matrices, through the usage of a direct multi-search algorithm. The two frameworks were tested across multiple datasets, including one of pure stocks and one of asset classes, to test the ability to both allocate assets and select stocks. …”
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Nonlinear heat transfer and thermo mechanical stress analysis using finite elements. by Pennington, Derek Steven

“…Four, eight and nine noded isoparametric continuum finite elements with the option of the plane stress, plane strain and axisymetric cases are utilized. Nonlinear heat transfer due to temperature dependent thermal conductivity and/or internal heat generation is solved using an iterative method based on the Newton-Raphson algorithm. …”
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Niching strategies for particle swarm optimization

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Sensitivity analysis of multilayer neural networks by Engelbrecht, Andries Petrus

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Load models for technical, economic and tariff analysis of medium voltage feeders by Buys, Johannes Lolo

“…The load models proposed here uses the k-means clustering algorithm as the basis for classification. The load models enable the classification of loads and assignment of load profiles accordingly. …”
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Mesoscale Wind Atlas of South Africa by Hagemann, Kilian

“…This thesis explores the utility of the MM5 regional climate model iii product big a detailed wind climatology for South Africa in the context of wind power applications. …”
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Mesoscale wind atlas of South Africa by Hagemann, Kilian

“…This thesis explores the utility of the MM5 regional climate model iii product big a detailed wind climatology for South Africa in the context of wind power applications. …”
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Optimal placement and power allocation for jammers in wireless mesh networks

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Dental implant recognition by Kohlakala, Aviwe

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Low bit rate speech coding by Kritzinger, Carl

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Radar-Based Multi-Target Classification Using Deep Learning by Mashanda, Nyasha Ernest

“…To achieve these objectives, radar data was collected using a C-band pulse-Doppler radar and converted to spectrograms using the Short-time Fourier transform (STFT) algorithm. Spectrograms of the following classes were utilised in classification: one human walking, two humans walking, one human running, moving vehicles, a swinging sphere and clutter/noise. …”
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Effective visualisation of callgraphs for optimisation of parallel programs: a design study by Mabakane, Mabule Samuel

“…Visualisation tools are used to identify performance bottlenecks of parallel applications in an attempt to optimize the execution of the programs and fully utilise the available computational resources. TAU (Tuning and Analysis Utilities) callgraph visualisation is one such tool commonly used to analyse the performance of parallel programs. …”
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Image-Based Models for Left Heart Flow Morphodynamics in Hypertrophic Obstructive Cardiomyopathy by Sultan, Abdelrahman A

“…This has been achieved by employing a velocity mapping algorithm along with integrating 4D-CT-derived wall motion information, resulting in a significant reduction in analysis time. …”
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A Novel Design-for-Test flow using LibreLane by Gaber, Mohamed E

“…It investigates various strategies for ordering of a scan chain, comparing the current approaches of ordering a netlist, or a greedy closest-first algorithm, to the decades of work on optimizing the traveling salesman problem. …”
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Volatility Model Pricing and Calibration with Neural Networks using Bayesian Optimisation by Goosen, Jenna

“…Bayesian Optimisation algorithms are implemented to select models with the lowest loss metric for SABR and Heston volatility models. …”
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Generating new data points using singular value decomposition by Biyana, Tlhologello

“…The method involves utilising SVD to generate new data, mimicking a predictive modelling formula by combining systematic and error components. …”
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