Specific applications of satelite remote sensing to the Benguela ecosystem by Weeks, Scarla Jeanne

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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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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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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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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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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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Analysis of the effect of course structure and pattern of usage on the efficacy of online/blended courses by Oosthuizen, Andries Cornelius

“…Finally, most students utilised the LMS and accessed a high percentage of tools in each category. …”
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Optimisation and dynamic effect of slip couplers in geared wind drivetrains by Britz, Joseph Juan

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Low bit rate speech coding by Kritzinger, Carl

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Volatility Model Pricing and Calibration with Neural Networks using Bayesian Optimisation by Goosen, Jenna

“…Bayesian Optimisation algorithms are implemented to select models with the lowest loss metric for SABR and Heston volatility models. …”
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Comparison of classification techniques to review the plausibility of adjustments to multiples-based equity valuations : empirical study for South Africa by Gouws, Jauné

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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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Multi-objective optimisation under deep uncertainty by Shavazipour, Babooshka

“…Nevertheless, analysis of the length of the planning horizon and its effects on the solutions to the proposed frameworks indicate that utilising the three-stage models is more efficient for longer periods because the differences between the solutions of the two proposed structures increase by any iteration of the algorithms in moving horizon models. …”
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Application of data mining and machine learning on occupational health and safety struck-by incidents on south African construction sites: a CRISP-DM approach. by Adams, Logan Charl

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Bayesian analysis of historical functional linear models with application to air pollution forecasting by Junglee, Yovna

“…The efficiency of the MCMC algorithms is increased by implementing a Cholesky decomposition to sample from high-dimensional Gaussian distributions and by taking advantage of the orthogonal properties of the functional principal components used to model the functional covariates. …”
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