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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Reconstruction of Functions From Non-uniformly Distributed Sampled Data in Shift-Invariant Frame Subspaces by Mkhaliphi, Mkhuseli Bruce

“…The impact of additive white Gaussian noise on the performance of the two algorithms is also investigated. The numerical tools utilized in this research consist of the theory of discrete irregular sampling, frames, and iterative techniques. …”
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SdrLift: A Domain-Specific Intermediate Hardware Synthesis Framework for Prototyping Software-Defined Radios by Tsoeunyane, Lekhobola Joachim

“…In order to alleviate these problems, Domain-Specific Languages (DSL) have been introduced to capture algorithms at a high level of abstraction with more expressive power and providing domain-specific optimizations that factor in new transformations and the trade-off between resource utilization and system performance. …”
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Detection and tracking of Mmoving objects using stereo vision cameras by Roelofse, Christiaan E.

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Partial end-to-end reinforcement learning for robustness towards model-mismatch in autonomous racing’ by Murdoch, Andrew

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Non-intrusive efficiency estimation of induction machines under various power supplies by Gajjar, Chetan Sudhir

“…Coupled with vibration sensors used to determine a motor's speed, measured input voltages and currents are used to deduce a machine efficiency-load profile through the use of a modified evolutionary algorithm, the Non-Intrusive Efficiency Estimation using Population-Based Incremental Learning(NIEE-PBIL) algorithm. …”
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An Optimized LTE-Based Technique for Drone Base Station 3D Placement and Resource Allocation in Delay-Sensitive M2M Networks by Fahim, Ahmed

“…The proposed exact optimization algorithm utilizes the outer-approximation technique along with the penalty method in search of the global optimal point in the problem feasible space. …”
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Distributed binary decision diagrams by Fasan, Mary Oluwasola

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Dataset selection for aggregate model implementation in predictive data mining

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Pellet-size estimation of a ferrochrome pelletizer circuit using Computer Vision techniques by Rabie, Johannes Kasselman

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Mining continuous classes using evolutionary computing

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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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Determining optimal primary sawing and ripping machine settings in the wood manufacturing chain by Lindner, Berndt Gerald

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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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Viability of UAV-based antenna pattern measurements by Kriel, Scott Graham Hilton

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Enhanced method of moments performance through efficient implementation and error estimation by Cilliers, Pierre

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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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Stall prevention control of fixed-wing unmanned aerial vehicles by Basson, Matthys Michaelse

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Solving sparse-reward problems in partially observable 3D environments using distributed reinforcement learning by Louw, Jacobus Martin

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