Regional CO₂ flux estimates for South Africa through inverse modelling by Nickless, Alecia

“…Sensitivity analyses considered changes to the covariance matrix and spatial scale of the inversion, as well as different optimisation algorithms, to assess the impact of these specifications on the optimal network solution. …”
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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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Evaluation and optimisation of photovoltaic (PV) plant designs by Gurupira, Tafadza L.

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Beamforming techniques for a quad-mode antenna array by Van Tonder, Geomarr

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Efficient spectrum use in cognitive radio networks using dynamic spectrum management

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Design and implementation of an off-grid PV drive system for small scale fresh produce cooling by Samuels, Jason Avron

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Efficient access network selection and data demand prediction for 5G systems by Paul, Udita

“…Based on the traffic analysis, the ideal placement of the data centre is formulated as a facility location problem and solved using the Weiszfeld’s algorithm. Additionally, based on the traffic analysis, the optimal dimensions of the data centre in different regions are heuristically obtained. …”
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Application of convolutional neural networks to building segmentation in aerial images by Olaleye, Kayode Kolawole, Stellenbosch University. Faculty of Science. Dept. of Mathematical Sciences. Division Applied Mathematics.

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Evaluating the potential of machine learning for promotional demand planning and price optimisation in retail by De Beer, Samuel Heinrich

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A multi-mode attitude determination and control system for small satellites by Steyn, Willem Hermanus

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Digital control of line-interactive UPS by Van Papendorp, J. F.

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The dynamic modelling of a laboratory-scale packed distillation column, used to separate mixtures of tetrafluoroethylene, hexafluoropropylene and octafluorocyclobutane at sub-zero...

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Differences in callosal and subcortical volumes and associated neurobehavioural deficits in children with prenatal alcohol exposure by Biffen, Stevie Crystal

“…High-resolution T1-weighted images were acquired using a sequence optimized for morphometric neuroanatomical analysis on a Siemens 3T Allegra MRI scanner for 71 right-handed children (9 FAS, 19 PFAS, 24 HE and 19 non-exposed controls) from this cohort at ages 9-11 years. …”
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Simulation-based optimisation of public transport networks by Nnene, Obiora Amamifechukwu

“…A multi-objective optimisation algorithm known as the Non-dominated Sorting Genetic Algorithm (NSGA-II) is integrated with Activity-based Travel Demand Model (ABTDM) known as the Multi-Agent Transport Simulation (MATSim). …”
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Automatic building footprint extraction using remote sensing data within the City of Cape Town

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Sensitivity study of dynamic features to monitor the condition of vibrating screen isolators

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Refinable vector splines and multi-wavelets with shortest matrix filters by Ranirina, Dinna

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Endemism and richness in the Cape floristic region: phytogeographic patterns and environmental correlates in a global biodiversity hotspot by Bradshaw, Peter L

“…The five analytical methods used to determine candidate PCs were evaluated for performance optimality. Bell Shaped Curve Weighting using UPGMA proved marginally more optimal than the other four methods, but differences between various weighting and clustering algorithms were less than anticipated. …”
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Simplified approaches for portfolio decision analysis by Kantu, Dieudonne Kabongo

“…These are generally computationally-intensive algorithms that require substantial amounts of information from the decision maker, and in return yield portfolios that are provably optimal or optimal within certain bounds. …”
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Diagnosis and prognosis of rolling element bearings at low speeds and varying load conditions using higher order statistics and artificial intelligence

“…For example, different colours of light emitting diode (LED) could be used to indicate the types of faults, such that a non-expert or a simple classification algorithm may interpret the result. Empirical models include the fields of regression and classification which are also collectively referred to as supervised learning and is dependent on its construction or optimization on large sets of representative data. …”
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