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The Effect of Dataset Size on the Performance of Classification Algorithms for Credit Scoring
Published 2023“…This dissertation extends the research into the benchmarking of different classification algorithms by looking to establish the effect that the size of a training dataset has on the relative performance of different algorithms. …”
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A non-intrusive video tracking method to measure movement of a moored vessel
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Performance analysis of text classification algorithms for PubMed articles
Published 2022“…Of all of the classifier models trained, logistic regression on Tf-idf vectorised entities achieved highest accuracy. …”
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Reinforcement learning for algorithmic day trading on the Johannesburg Stock Exchange
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Efficient approximations of the multi-sensor labelled multi-Bernoulli filter
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Calibration system for the Tracking Accuracy Measurement System (TAMS) using differential GPS (dGPS)
Published 2024“…Post mission, the raw GPS is differentially corrected. An algorithm was written in Matlab for the purpose of comparing the dGPS measurements and the sensor measurements, once suitable interpolation and correction for sensor latency has taken place. …”
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Application of Chebyshev approximation techniques applied to banking risk calculations
Published 2025Subjects: “…Tensors-train format and completion algorithm…”
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A Bore-sight Motion Detection Algorithm for Satellite Attitude Control
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Shunt active power filtering algorithms for unbalanced, non-linear loads
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Training neural networks for informal road extraction
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A hybrid deep learning based algorithm for gamma spectroscopy analysis
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Modelling and Tracking of the Global Maximum Power Point in Shaded Solar PV Systems Using Computational Intelligence
Published 2020“…The complete PV system with a maximum power point tracking (MPPT) includes the solar panel array, MPPT algorithm and a DC-DC converter topology. …”
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A study for the development of a laser tracking system utilizing multilateration for high accuracy dimensional metrology
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Training neural word embeddings for transfer learning and translation
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Performance ranking of artificial neural network learning algorithms in solar radiation forecast
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A comparison framework for deep learning RFI detection algorithms in radio astronomy
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A LULU noise removal algorithm for images using principal component analysis
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The design, implementation of a moving platform landing algorithm for an unmanned autonomous helicopter
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A comparison between existing mortality risk algorithms and machine learning techniques
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