Applied machine learning for radio galaxy classification and anomalous source detection by Brand, Kevin

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Routing in packet switched computer communication networks by Inglesby, Paul

“…This thesis concerns the optimization of the routing path in packet-switched computer-communication networks. Computer-communication networks over the past decade are outlined. …”
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Reliable Outdoor Ai-Based Autonomous Uav Localization and Trajectory Tracking Using Cellular Networks by Afifi, Ghada

“…We propose to utilize the broadcast signals from existing cellular networks to localize and navigate the UAV from a given source to a destination. …”
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ATOM : a distributed system for video retrieval via ATM networks by Roux, Matthew John

“…The convergence of high speed networks, powerful personal computer processors and improved storage technology has led to the development of video-on-demand services to the desktop that provide interactive controls and deliver Client-selected video information on a Client-specified schedule. …”
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An efficient parallelization of a real scientific application by Post, Elizabeth Anne

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Low complexity turbo equalization using superstructures

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Multimodal morphological classification of radio galaxies by Farge, Dylan Richard

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Generation dispatch with large-scale photovoltaic systems

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Photovoltaic based distributed generation power system protection

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Development of an RF listening mode on the TIGER-3 FPGA platform by van Zyl, Willem Francois

“…Digital hardware can sample and process information fast enough to eliminate the need for conventional analogue down-converters. The result is an increase in sensitivity, signal to noise ratio and design simplicity. …”
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An empirically derived system for high-speed rendering

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Interactive Expert System for Budgeting World Bank Consultancy Projects by Rafat, Yosra

“…The classifiers that were included in the research were; Categorical Naive Bayes, K Nearest Neighbors, XGBoost, Random Forest, Gradient Boosting Classifier, AdaBoost Classifier, Bagging Classifier, Small Multi-layer Perceptron (Neural Network). Upon establishing the regression by classification approach by using the ensemble method, the final vote is computed using "mode" operation, to select the most common output class among all models, resulting with a 40.62% success rate and 72.41% acceptance rate respectively. …”
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Managing the Water Quality of the Zandvlei Estuary using Sustainable Drainage Systems in the Diep Catchment by Thewlis, Geordie

“…Scenario 2 reintroduced four wetlands and two retention ponds into the main river network. The stormwater network currently only uses these wetlands and ponds as attenuation storage during large rainfall events. …”
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Characterisation and quantification of microstructure, physicochemical and functional properties of oven and forced convection continuous tumble roasted cereal grains by Schoeman, Letitia

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