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  1. Extracting blade condition information from the pressure field around a turbine blade

    Published 2020
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  2. Transient stability assessment of hybrid distributed generation using computational intelligence approaches by Olulope, Paul Kehinde

    Published 2014
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  3. Phase noise reduction of a 0.35 μm BiCMOS SiGe 5 GHz Voltage Controlled Oscillator

    Published 2013
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  4. Atmosphere-vegetation interactions over South Africa by Shannon, Debbie Anne

    Published 2016
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  5. The long-run performance of initial public offerings on the Johannesburg Stock Exchange

    Published 2017
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  6. Hydrodynamics of fluidization in an annular space

    Published 2016
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  7. The influence of road condition on the shelf life of tomatoes

    Published 2017
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  8. A system dynamics approach to managing project risks in the electricity industry in sub Saharan Africa

    Published 2017
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  9. Biologically inspired flight : the autonomous control of a quadcopter using spiking neural networks by Smith, Durham Valdon

    Published 2015
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  10. Advances in iterative learning control with application to structural dynamic response reconstruction

    Published 2015
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  11. Dynamical downscaling of prevailing synoptic-scale winds over the complex terrain of Mariepskop, South Africa

    Published 2014
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  12. The effect of long-term climate change on the vertebrate fauna of Mariepskop South Africa

    Published 2016
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  13. A Comparison Between Break-Even Volatility and Deep Hedging For Option Pricing by Claassen, Quintin

    Published 2023
    “…The new paradigm of Deep Hedging (DH) (as explored by Buehler et al. (2019)), ie. using deep neural networks to solve for optimal option prices (and the respective parameters needed to hedge these options at discrete time steps), has allowed the market-maker to go ‘modelfree', in the sense of being able to price without any prior assumptions about stock price dynamics (which are needed in the traditional closed-form pricing approach). Using simulated stock price data of various model dynamics, we first investigate whether DH is more successful than BEV in recovering the model implied volatility surface. …”
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  14. The development of an effective jam code against the conical-scan seeker

    Published 2020
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  15. Batch sizing and scheduling on a volatile production line through the usage of linear optimisation by Hugo, Jeanne-Marie

    Published 2019
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  16. Accounting for proof test data in Reliability Based Design Optimization by Ndashimye, Maurice

    Published 2015
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  17. A generic similarity test for spatial data

    Published 2021
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  18. A hardware testbed for measuring IEEE 802.11g DCF performance by Symington, Andrew

    Published 2014
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  19. Estimating seemingly unrelated regressions with first order autoregressive disturbances

    Published 2013-05
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