Search Results - reliable process models

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  1. Towards a hybrid approach for diagnostics and prognostics of planetary gearboxes

    Published 2021
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  2. Walking the bridge from single- to multi-species approaches in Southern African fisheries management by Plaganyi-Lloyd, Eva Elizabeth

    Published 2023
    “…In general, reliable predictive ability from such models is likely to be achieved sooner for top predators because relatively fewer links need to be modelled. …”
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  3. Estimating value at risk and expected shortfall: a kalman filter approach by Van Der Lecq, Maximilian

    Published 2025
    “…A Kalman filter is used for the first time to estimate both VaR (and ES) to provide an alternative technique to existing industry methods. Modelling the volatility of asset returns as a stochastic process, the Kalman filter uses Bayesian statistics to forecast unobservable data by identifying underlying patterns required to predict future values. …”
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  4. Learning to clean heritage point clouds by Hayward, Luc

    Published 2026
    “…This is commonly used in the Cultural Heritage domain to create highly detailed 3D models. However, the raw point cloud often contains unwanted details and artefacts which require manual removal through a time-consuming process called point cloud cleaning. …”
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  5. The cost of equity capital in a regulatory environment: an international comparison by Graham, Kyle Stephen

    Published 2015
    “…A review of academic literature indicates that the Capital Asset Pricing Model (CAPM) understates the returns of low beta stocks, such as utilities. …”
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  6. Pose estimation and data fusion algorithms for an autonomous mobile robot based on vision and IMU in an indoor environment

    Published 2021
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  7. QoS-based power management techniques for uplink W-CDMA cellular systems

    Published 2013
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  8. UAV-based track bed inspection and monitoring by van Tonder, Francois Johann

    Published 2023
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  9. Cyanide volatilisation from gold leaching operations and tailing facilities

    Published 2013
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  10. Chemical characterisation of South African young wines by Louw, Leanie

    Published 2008
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  11. An investigation of improvements to electrochemical precipitation of struvite from source separated urine by Malanda, Nicole Mulenga

    Published 2017
    “…Usually, magnesium is dosed chemically using salts such as MgCl₂, MgO, MgSO₄ or bittern, together with pH regulating agents but these reactants produce unfavourable chemical by-products and the process tends to be expensive. Previous studies have proven that electrochemical dosing of magnesium is a feasible and reliable method of struvite precipitation. …”
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  12. Working on-demand in the domestic sector: A case study on the experiences of platform domestic work in Cape Town by Nhleko, Tengetile Wamkelwe

    Published 2023
    “…Findings in this study were analysed using a labour process theory lens that is based on the permissive-power framework of platform work governance by Vallas and Schor (2020). …”
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  13. Probabilistic Outlier Removal for Stereo Visual Odometry by Chiu, Alexander

    Published 2017
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  14. Impact assessment of energy-efficient lighting interventions by Jakoef, Adiel

    Published 2009
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  15. Exploring Differential Item Functioning on reading achievement between English and isiXhosa

    Published 2018
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  16. The feasibility of implementing online dispute resolution as a distinct method of dispute resolution on the African continent by Cupido, Robin Vicky

    Published 2025
    “…Online Dispute Resolution (ODR) has been identified as such a system, a dispute resolution process which is in large part conducted through online systems or through the use of technology. …”
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  17. The Removal of False Signals from Convolutional Neural Networks by Burger, Leon Eldon

    Published 2026
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  18. Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

    Published 2025
    “…This is due to the introduction of robust maximum entropy in the SAC's learning process, which ensures that the system model and estimation errors are minimized, especially in complex control problems. …”
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