A novel face recognition system in unconstrained environments using a convolutional neural network

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SHORELINE DYNAMICS OF SOUTH AFRICA USING SATELLITE IMAGERY by Theron, Danie

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Presisie landing van 'n onbemande vliegtuig by Visser, Bernardus Johannes

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Using metaheuristics with the ranking and selection indifference-zone procedure MMY in problems with many objectives by Prinsloo, Trudie

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Solutions to the conjugacy search and decision problems in the braid group using finite conjugacy class invariants by Erasmus, Sane´

“…In particular, we study the summit set, the super summit set, the improved super summit set algorithm which utilises minimal simple elements, the ultra summit set, improvements to the ultra summit set solution using graph theory, and lastly the set of sliding circuits. …”
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AI-based hybrid optimisation of multi-megawatt scale permanent magnet synchronous generators for offshore wind energy capture by Lilla, Abdurahman Daleel

“…The initial stage (STAGE I) of the hybrid optimisation utilised the DE algorithm. The objective function was set to reduce the initial cost (!"…”
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Modelling electricity load scheduling and retailer decision-making

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The effect of a structured self-monitoring blood glucose regimen on glycaemic control for type 2 diabetes patients using insulin

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Accelerating genomic sequence alignment using high performance reconfigurable computers by McMahon, Peter Leonard

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Pricing American/Bermudan-style Options under Stochastic Volatility by Jankelow, Adam

“…We price American options under the Heston and Bates stochastic volatility models where volatility is assumed to be a latent process. The pricing algorithm is based on the least-squares Monte Carlo approach made popular by Longstaff and Schwartz (2001). …”
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Performance and control of multi three-phase converter-fed non-overlapping winding wound rotor synchronous wind generator by Dube, Lucky

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Design development of brushless doubly fed machines by Olubamiwa, Oreoluwa

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Sensitivity analysis of multilayer neural networks by Engelbrecht, Andries Petrus

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Enhancing mobile camera pose estimation through the inclusion of sensors by Hughes, Lloyd Haydn

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Automated learning rates in machine learning for dynamic mini-batch sub-sampled losses

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Efficient gradient-based optimisation of suspension characteristics for an off-road vehicle

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Tττ-framework for the evaluation and improvement of phase behaviour description with the NRTL activity coefficient model by Lamprecht, Danielle Lee

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Distributed autonomous intersection management with neuro-evolution by Cherry, Matthew P

“…In particular we investigate three key hyper-parameters: Neuro-Evolution algorithm, task difficulty and problem exposure. A traffic simulator was developed and the hyper-parameters were used to evolve car controllers, which where then tested on unseen tasks. …”
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The development of an on-chip-metering solution by Kaplen, David

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