Machine Learning for Radio Frequency Interference Flagging by Harrison, Kyle

“…This work explores the application of supervised machine learning algorithms for RFI flagging, trained on real measurement data and simulated data with simulated RFI. …”
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EMG-based eye gestures recognition for hands free interfacing by Zahran, Ahmed

“…Additionally, we are using the thresholding algorithm to extract the features from all the gestures. …”
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n reflekterende leerondersteuningstrategie vir sewe leerders met wiskunde-probleme, ontwikkel in die opvoedkundige sielkunde

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D-Tree : examining the efficiency of a community case management mobile medical diagnostic tool by Schramm, Kai T

“…To achieve this overarching goal D-Tree firstly, develops and validates clinical algorithms for use by health workers, secondly they design software for delivering these algorithms on mobile phones, and thirdly enable the effective use of these algorithms on a scalable basis. …”
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End-to-End Autonomous Quadcopter using Reinforcement Learning by Chawa, Mohamed Marwan

“…Addressing this challenge will require developing RL algorithms that can either adapt to these variations online or learn from a diverse set of training environments. …”
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Multivariate nonlinear time series analysis of dynamic process systems by Jemwa, Gorden Takawadiyi

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An on-board track monitoring system for modern railway vehicles by Du Toit, Daniel

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A machine learning hybrid approach to forecasting equity returns volatility: A South African perspective. by Tloubatla, Tabataba Simon

“…This research considered daily prices of the JSE ALSI from January 2004 to December 2022, where 80% of the dataset was used for training purposes and 20% was used for testing purposes. …”
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Evaluating image classification techniques on ASTER data for lithological discrimination in the Barberton Greenstone Belt, Mpumalanga, South Africa by Kemp, Jacobus Nicholas, Zietsman, H. L., Stevens, G.

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Optimal design of a guided wave rail web transducor using numerical modelling

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Cardiac MRI segmentation with conditional random fields by Dreijer, Janto Frederick

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Non-linear neurocontrol of chemical processes using reinforcement learning by Hunter, Stephen Leon

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Deep learning based methods for tuberculosis cough classification by Frost, Geoffrey

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Implementation of fast airborne synthetic aperture radar simulation by Kao, Hui-Shun

“…Since nowadays the modem aircraft may be fitted with SAR facility, the aim of this dissertation is to develop fast algorithms for a fast or real-time like SAR simulator which could aid in airplane pilot training. …”
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Evaluating digital image correlation speckle pattern quality using finite element‑based displacement fields by Phukubye, Noko Sekolo

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Application of convolutional neural networks to building segmentation in aerial images by Olaleye, Kayode Kolawole, Stellenbosch University. Faculty of Science. Dept. of Mathematical Sciences. Division Applied Mathematics.

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User Profiling through Zero-Permission Sensors and Machine Learning by ElHussiny, Ahmed

“…We then pass this processed training data through machine learning algorithms, enabling accurate user profiling without the need for explicit information gathering. …”
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Fusion of phoneme recognisers for South African English by Strydom, George Wessel

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Reduced order modeling techniques for mesh movement as applied to fluid structure interactions

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Wheat and triticale whole grain near infrared hyperspectral imaging for protein, moisture and kernel hardness quantification by Orth, Sebastian Helmut

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