Mining continuous classes using evolutionary computing

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Evaluating FFT Implementations Developed for use on FPGA Hardware by Brown, Morag

“…The Fast Fourier Transform (FFT) is an important algorithm within the field of radio astronomy, where it is used as a key processing component in the digital signal processing (DSP) backends of radio spectrometers. …”
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Enhancement of the Fynbos Leaf Optical Recognition Application (FLORA-E) by Makumborenga, Roy

“…Numerous algorithms and techniques are available that can be used to achieve this objective. …”
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Tree species identification and leaf segmentation from natural images using deep semi-supervised learning by Homan, Dewald

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An attitude control system for the deployment and stabilisation of a tethered dual CubeSat mission by Kearney, Mike-Alec

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Investigating the use of ray tracing for signal-level radar simulation in space monitoring applications: a comparison of radio propagation models by Martin, Mogamat Yaaseen

“…As such, this thesis proposes an open-source, ray-traced radar simulator that models the interactions between spaceborne targets and terrestrial radar systems. This utilises a ray-tracing algorithm to simulate the effects of debris size, shape, orientation, and material properties when computing radar signals in a typical simulation. …”
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An automated computer-assisted approximation of the nose in South Africans from CBCT (Cone Beam Computed Tomography) scans

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Valuing American-style derivatives by simulation : alternative regression-based methods

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Detection and tracking of Mmoving objects using stereo vision cameras by Roelofse, Christiaan E.

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Fast, realistic terrain synthesis by Crause, Justin

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Fault detection for the Benfield process using a closed-loop subspace re-identification approach

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The analysis of distributed resources on a load sharing reticulation network

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Robust portfolio construction: using resampled efficiency in combination with covariance shrinkage by Combrink, James

“…The output is a set of 'optimal' investment weights, one per each share who's returns were fed into the algorithm. This thesis looks at identifying and removing avoidable risk through a statistical robustification of the algorithms and attempting to improve upon the 'optimal' weights provided by the algorithms. …”
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Design and optimization of an embedded machine learning image processing system with a Linux SOC for large-scale livestock tallying by Le Roux, Morne

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Pharmacogenomics of warfarin: comprehensive evaluation of important warfarin genomic response factors by Ndadza, Arinao

“…Data on variants that specifically affect warfarin dose variability among Africans is lacking, with no dosing algorithms tailored specifically for Africans developed to date. …”
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Malicious user attacks in decentralised cognitive radio networks

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Ancestry-independent osteometric sex estimation from selected postcranial skeletal elements of South Africans: a machine learning approach by Scott, Michelle

“…Estimation techniques using postcranial elements in SA almost exclusively utilise discriminant analysis to evaluate sex, but international publications have shown success using alternative machine learning (ML) algorithms. …”
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A new connectivity strategy for wireless mesh networks using dynamic spectrum access by Maliwatu, Richard

“…For hybrid links comprising radios with significantly unequal data-rates, this study proposes an adaptive round-robin (ARR) based algorithm for efficient multilink utilisation. Numerical analysis indicate that ARR provides 75 % throughput improvement. …”
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Fine-grain transformations for refactoring

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Dataset selection for aggregate model implementation in predictive data mining

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