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Machine Learning for Radio Frequency Interference Flagging
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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Leveraging genotypes imputation and polygenic risk scores in malaria susceptibility
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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Valuing risky income streams in incomplete markets
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A machine learning framework for security forecasting and trading
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Development and control of a 3-axis stabilised platform
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Dynamic catch-effort models for the southern African hake populations
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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A novel control mechanism for hybrid 5-level DC-DC converter for higher switching frequency and lower voltage ripple
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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Multi-h synchronisation for codes with long constraints-length
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Fault-tolerant NCSs with video sensors
Published 2019“…Simulations clearly indicated zero packet loss and no over-delayed packets. …”
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A mathematical model for onchocerciasis and its treatment with ivermectin
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The prediction of the emission spectra of flares and solid propellant rockets
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Classification of synthesised ISAR images of small complex targets
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Multi-objective optimisation of water distribution systems design using metaheuristics
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Developing a methodology for reducing diamond breakage within processing plant
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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Intelligent control for processing solar photovoltaic energy
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Strategies for combining tree-based learners
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A Comparison Between Break-Even Volatility and Deep Hedging For Option Pricing
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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