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Assessing the representation of teleconnective drivers of rainfall over Eastern Africa in global and regional climate models and projected future changes
Published 2017“…The teleconnection-rainfall relationship with the Eastern Africa region is assessed in two rainfall seasons (June-July-August-September and October-November- December) under present and future periods. Evaluation runs (RCMs driven by reanalysis datasets) and historical simulations (RCMs driven by CGCMs) are assessed to quantify the ability of the models to capture the teleconnection relationship. …”
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Modelling toll impacts using congested highway assignment software – a case study of the proposed N2 - R72 link road in east London, South Africa
Published 2021“…It is tricky to use SATURN on a meso and micro level, as the micro level can distort the trip assignment if only a small (but key) part of the network is simulated (i.e. the assignment results in trips diverting around the simulation by using the buffer network). …”
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Efficient radio resource management in integrated terrestrial and non-terrestrial networks
Published 2024“…Simulation results reveal that the GA outperforms all algorithms in terms of SE and user acceptance ratio. …”
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Univariate parametric and nonparametric double generally weighted moving average control charts
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Impact of changing climatic factors on physiological and vegetative growth parameters of young grafted grapevines
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Investigating the dynamics of hydrogen peroxide metabolism in the peroxiredoxin system of Saccharomyces cerevisiae
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Measurement of composition of organic constituents of municipal wastewater for plant-wide modelling
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Reducing fumonisin exposure in African fermented maize-based foods with lactic acid bacteria
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Power-line sparking noise characterisation in the SKA environment
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Direct piston displacement control of free-piston Stirling engines
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Towards context aware opportunistic forwarding in social pervasive systems
Published 2017“…All our contributions are empirically evaluated via our proposed simulator SAROS, our fifth contribution, which is presented in detail in Chapter 4. …”
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A study of impact breakage of single rock specimen using discrete element method
Published 2021“…This study investigates how individual factors influence rock specimen breakage using BPM-DEM numerical methods. Numerical simulations were conducted using ESyS-particle 2.3.5, an open-source discrete element method (DEM) software package which uses Python-based libraries to generate geometries and simulations and a C++ engine for mathematical computations. …”
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The Influence of Anthropogenic Climate Change on the 2015-2017 Hydrological Drought in the South-Western Cape, South Africa
Published 2021“…A hydrological model evaluation was then undertaken, using updated streamflow gauging station data, to assess the ability of the Pitman model to realistically simulate runoff in the Berg River catchment. …”
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Interference Management of Inband Underlay Device-toDevice Communication in 5G Cellular Networks
Published 2021“…A comparative performance evaluation for the algorithms are carried out in the two system model scenarios, and the results indicated that D2D communication with relay assistance outperformed the conventional D2D communication without relay assistance. …”
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Thin trading, non-normality and the estimation of systematic risk on small stock markets
Published 2024“…Substantial increases in the efficiency of beta estimation are shown to emanate from the proposed procedure in an empirical evaluation using data from the JSE. A further aspect of thin trading is also considered in the thesis, namely the effect that it has on the estimation of covariances between securities. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning
Published 2024“…Our analysis of the simulation data suggests that the Q-learning-based reinforcement learning framework, sHRRL, enhances the performance of the hybrid switch when compared to the Open Flow switches. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning
Published 2024“…Our analysis of the simulation data suggests that the Q-learning-based reinforcement learning framework, sHRRL, enhances the performance of the hybrid switch when compared to the Open Flow switches. …”
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