Machine learning in astronomy by Du Buisson, Lise

“…Using principal component analysis and linear discriminant analysis, we construct a grand total of 56 feature sets with which to train, optimise and test a Minimum Error Classifier (MEC), a naive Bayes classifier, a k-Nearest Neighbours (kNN) algorithm, a Support Vector Machine (SVM) and the SkyNet artificial neural network.…”
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Human action recognition with 3D convolutional neural networks by Cronje, Frans

“…Convolutional neural networks (CNNs) adapt the regular fully-connected neural network (NN) algorithm to facilitate image classification. Recently, CNNs have been demonstrated to provide superior performance across numerous image classification databases including large natural images (Krizhevsky et al., 2012). …”
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Investigating the virtual directing strategies of a virtual cinematographer in an automatic lecture video post-processing system by Khatieb, Mohamed Tanweer

“…The VC uses scene analysis algorithms to determine how the environment changes as time progresses in the video. …”
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Critical Evaluation of DC-Grid and Strong Grid-Forming Wind Generator Systems by Dube, Lucky

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Volatility Model Pricing and Calibration with Neural Networks using Bayesian Optimisation by Goosen, Jenna

“…Therefore, this dissertation explores the use of deep artificial neural networks to calibrate volatility models by deploying computational resources to train a model (offline) and then utilise the pre-trained model to competitively price options (online). …”
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Development of IoT based hybrid autonomous network robots (ANR) by Chukwuemeka, Chimsom Isidore

“…In case one of the SSNs issued an alert, the zone MRSN relays the event to the IoT BS and starts to generate and navigate its path to the alerting SSN using the A* algorithm. If the zone MRSN is outside a reference distance to the alerting SSN location, it coordinates with the G-MRSN using contract net protocol (CNP) algorithm to assign the closer G-MRSN, generate the path to the alerting SSN and navigate it. …”
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Preparing teachers in developing for computational thinking teaching in primary education : a Namibian case study

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The development of a dynamically configured wireless ad-hoc multihop network protocol by Pretorius, Wynand

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Microbial Quality of Rainwater Harvested from Rooftops, for Domestic use and Homestead Food Gardens

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Exploring an innovative method for the automatic recognition of cortical sulci in cranial endocasts

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Agulhas current variability determined from space : a multi-sensor approach by Rouault, Marjolaine

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Data capture of geometric data for local authorities' geographic information systems by De Wet, Francois Johan

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Guidance, control, and motion planning for a hexapod robot moving over uneven terrain by Erasmus, Sheldon

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Tick-borne haemoparasite occurrence and Anaplasma bovis strain diversity in eastern rock sengis (Elephantulus myurus)

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Agricultural field boundary delineation using earth observation methods and multi-temporal Sentinel-2 imagery by Watkins, Barry

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Optimizing Battery Storage for Minimizing Forecast Errors in Wind Power Systems by Van der Merwe, Schalk Willem

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Development of a robust myoelectric control architecture for lower limb robotic prostheses applications. by Garikayi, Talon

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Improving methods for genotypic drug resistance testing in Mycobacterium tuberculosis by Mlamla, Zandile Cleopatra

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Mathematical optimisation of the suspension system of an off-road vehicle for ride comfort and handling

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