Machine Learning Based Critical Resource Allocation in Mixed-Traffic Cellular Networks by Nomeir, Mohamed

“…The results show that the proposed algorithms produce near-optimal results in real-time.…”
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Dataset shift in land-use classification for optical remote sensing

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Efficient adaptive sampling applied to multivariate, multiple output rational interpolation models, with applications in electromagnetics-based device modelling by Lehmensiek, Robert

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Data-driven augmentation of pronunciation dictionaries by Loots, Linsen

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Condition monitoring of induction motors in the nuclear power station environment by Rylands, Naasef

“…The induction motor is a highly utilised electrical machine in industry, with the nuclear industry being no exception. …”
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Mobility Management in 5G Heterogeneous Networks: A Handover Scheme for Reducing Handover Failures by Monaheng, Reitumetse

“…This dissertation focuses on reducing handover failures due to the unavailability of resources at the target cell when a user equipment moves out of small cells, which have the highest rate of handover failure. By utilising a semi-Markov mobility prediction algorithm for handover management, we have implemented a handover scheme that reduces the number of handover calls dropping. …”
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An investigation into the relationship between design approaches, student engagement and agency in a blended learning computer science course by Van Der Merwe, Brendan Kenneth

“…Disengagement among learners in tertiary Computer Science (CS) courses, particularly those focusing on algorithmic design, poses challenges to the achievement of learning outcomes. …”
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Interference Management of Inband Underlay Device-toDevice Communication in 5G Cellular Networks by Boamah, Sharon Ampomaa

“…The channel allocation problem is solved as an assignment problem by using a proposed heuristic channel allocation, random channel allocation, Kuhn-Munkres (KM) and Gale-Shapley (GS) algorithms. A comparative performance evaluation for the algorithms are carried out in the two system model scenarios, and the results indicated that D2D communication with relay assistance outperformed the conventional D2D communication without relay assistance. …”
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Blaze-DEM : a GPU based large scale 3D discrete element particle transport framework

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Adaboost and its application using classification trees

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Advanced vineyard based long range sensor networks by Nell, Nicholas

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A generic optimisation framework for reinforcement learning in the foreign exchange market by De Wit, John Spencer

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Viterbi decoded linear block codes for narrowband and wideband wireless communication over mobile fading channels

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Protection-based Distributed Generation Penetration Limits on MV feeders - Using Machine Learning by Nxumalo, Emmanuel

“…Gradient descent, which is an optimisation algorithm that iterates and finds optimal values of the parameters that correspond to the local or global minimum values of the cost function using calculus was used to measure the accuracy of each model's hypothesis function. …”
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Multi-dimensional direct-sequence spread spectrum multiple-access communication with adaptive channel coding

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Heuristics for large-scale Capacitated Arc Routing Problems on mixed networks

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A distributed system for enumerating main classes of sets of orthogonal Latin squares by Benade, Johannes Gerhardus

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Investigation of polymer grade blending in Ziegler-Natta Catalysed ethylene polymerisation systems by Nacerodien, Mogamat Thaabit

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Countermeasure Allocation and Load-Out Optimisation

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Minimising the total travel distance to pick orders on a unidirectional picking line by De Villiers, Anton Pierre

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