Search Results - (optimization OR utilization) simulation methods

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  1. Machine Learning for Radio Frequency Interference Flagging by Harrison, Kyle

    Published 2021
    “…This work explores the application of supervised machine learning algorithms for RFI flagging, trained on real measurement data and simulated data with simulated RFI. The goal of this work is to investigate the prediction of RFI using specific machine learning algorithms; Naive Bayes Classifier, K-Nearest Neighbours Classifier, Random Forest Classifier, the U-Net convolution neural network and the Multilayer Perceptron. …”
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  2. Null Synthesis and Implementation of Cylindrical Microstrip Patch Arrays

    Published 2013
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  3. Leveraging genotypes imputation and polygenic risk scores in malaria susceptibility by Kimathi, Peter Opiyo

    Published 2020
    “…Methodology We evaluated the performance of five popular genotypes imputation methods (IMPUTE4, minimac 4, IMPUTE2, minimac3 and BEAGLE4) using case control datasets that mimics African populations, European populations and the admixed populations simulated with FractalSIM. …”
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  4. Valuing risky income streams in incomplete markets by Johnson, Clare

    Published 2014
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  5. A machine learning framework for security forecasting and trading by Van Schalkwyk, Philip

    Published 2024
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  6. Development and control of a 3-axis stabilised platform by Bredenkamp, Adolf Friedrich Ludwig

    Published 2007
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  7. Dynamic catch-effort models for the southern African hake populations by Andrew, P A

    Published 2024
    “…Col"1sequerrt ly, discrete dynamic- versions of the Schaefer and Fo>t models are fitted, i..tsi ng nor11 l near tt1i ni1t1i Lat i or1 procedures, to catch-effort data for the fottr ICSEAF areas commonly chosen for hake stock assessment purposes, nEUl'lely Divisiol"1S 1.3 + 1.4, 1.5, 1.6 and 2.1 + 2.2 (all of which indicate generally downward CPUE trends for the maJOT' part of their histories>. Monte Carlo simulation methods are employed to estitt1ate coefficients of variation for· the trJodel parameter and yield values assessed. …”
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  8. A novel control mechanism for hybrid 5-level DC-DC converter for higher switching frequency and lower voltage ripple by Mazloum, Mohamed Samir

    Published 2017
    “…Simulations as well as a test circuit are used to illustrate the proper control functionality, with tabulated results that showcase the efficiency advantage over prior control methods as well as the buck and 3-level hybrid converters.…”
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  9. Multi-h synchronisation for codes with long constraints-length by Nel, Eugéne Johannes

    Published 2014
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  10. Fault-tolerant NCSs with video sensors by Ahmed, Hadeer

    Published 2019
    “…Simulations clearly indicated zero packet loss and no over-delayed packets. …”
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  11. A mathematical model for onchocerciasis and its treatment with ivermectin by Omondi, Evans Otieno

    Published 2016
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  12. The prediction of the emission spectra of flares and solid propellant rockets by Barnard, Paul Werner

    Published 2011
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  13. Classification of synthesised ISAR images of small complex targets by Stewart-Burger, Cullen

    Published 2023
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  14. Multi-objective optimisation of water distribution systems design using metaheuristics by Raad, Darian Nicholas

    Published 2011
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  15. Developing a methodology for reducing diamond breakage within processing plant by Chele, Motsi John

    Published 2021
    “…Material breakage characterisation methods has been used to determine the hardness or resistance to breakage of diamond host rock, ceramic diamond simulants and simulants embedded in the concrete blocks. …”
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  16. Kafirin and zein as coatings for the controlled release of amino acid supplements

    Published 2013
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  17. Intelligent control for processing solar photovoltaic energy by Wacira, Joseph Muthui

    Published 2023
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  18. Strategies for combining tree-based learners by Meyer, Nicholas George

    Published 2020
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  19. A Comparison Between Break-Even Volatility and Deep Hedging For Option Pricing by Claassen, Quintin

    Published 2023
    “…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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