Peer-to-peer biometric verification using nfc-enabled smartphones

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Concept demonstrator for a decision support tool for agricultural applications by Van Rooyen, J. C.

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Using population-based incremental learning to optimize feasible distribution logistic solutions by Lourens, Tobie

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Anti-lock braking system performance on rough terrain

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Approximation approaches for training neural network problems with dynamic mini-batch sub-sampled losses

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Novel motion capture methods for sports analysis : case studies of cycling and rugby goal kicking by Cockroft, Stephen John

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Autonomous airborne refueling : relative state estimation by Runhaar, Anton Johan

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Using machine learning to predict the risk severity of late effects o f childhood cancer survivors by Nortje, Lene

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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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Antenna axis offset and intersection determination using GPS by Combrinck, Willem Ludwig

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Structural performance evaluation of concrete arch dams using ambient vibration monitoring and GNNS systems by Bukenya, Patrick

“…Methods used in the analysis of dam monitoring data include data-driven models, physical-based models and hybrid models. Data-driven models utilise environmental variables as independent factors and dam responses as dependent factors. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…We are therefore of the opinion that the hybrid switching model proposed utilizing machine learning algorithms can address the scalability issues in the design of SDN controller networks, particularly in data centre environments where high switching speeds are of paramount importance.…”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…We are therefore of the opinion that the hybrid switching model proposed utilizing machine learning algorithms can address the scalability issues in the design of SDN controller networks, particularly in data centre environments where high switching speeds are of paramount importance.…”
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A framework for evaluating clinical data using graph-based link prediction by Parshotam, Himil

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Application of machine learning and knowledge-based systems to support decision-making on fate and behaviour of engineered nanoparticles in aqueous environment

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Predictive maintenance using clustering methods for the use-case of bolted connections in the automotive industry by Bekker, Emmarentia Lydia

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Blaze-DEM : a GPU based large scale 3D discrete element particle transport framework

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Optimal energy management for a grid-tied solar PV-battery microgrid: A reinforcement learning approach by Muriithi, Grace

“…In the trading algorithm case, excess microgrid's energy can be sold back to the utility to increase revenue, while in the latter case constraining rules are embedded in the designed EMS to ensure that no excess energy is sold back to the utility. …”
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Energy management of micro-grid using cooperative game theory by Oladejo, Ismaheel Oyeyemi

“…This is in contrast with other heuristic algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO) that require other control parameters (i.e. …”
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The dynamic modelling and development of a controller for a general purpose remotely operated underwater vehicle by Finbow, Maximillian

“…An extensive overhaul of the SEAHOG GUI is performed, utilising multicore processing architecture in LabVIEW and resulting in a user-orientated interface capable of controlling and monitoring all existing system data from the robot.…”
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