A comparative study of recurrent neural networks and statistical techniques for forecasting the stock prices of JSE-listed securities by Galant, Rushin

“…This is likely the result of the unforeseen impact of the covid-19 pandemic on financial markets that would not have been factored into the training sets of the machine learning algorithms. . . .…”
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Small-scale distributed machine learning in R by Taylor, Brenden

“…Machine learning models generally require large amounts of data to train and thus are computationally expensive, both in the absolute sense of actual compute time, and in the relative sense of the numerical complexity of the underlying calculations. …”
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X-ray motion analysis of charge particles in a laboratory mill by Govender, Indresan

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Determination of a robust metabolic barcoding model for chemotaxonomy in Aizoaceae species : expanding morphological and genetic understanding by Hilgart, Amelia

“…Once isolated, this subset of informative data was established as metabolic barcodes for the identification of the study species. A machine learning algorithm, Random Forest, was used to build a classification model based on the metabolic barcodes which was then trained on various trends from the factors monitored over the year. …”
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Deep learning for supernovae detection by Amar, Gilad

“…This thesis explores the potential of using state-of-the-art machine learning algorithms to handle this burden more accurately and quickly than trained astronomers. …”
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Model Calibration with Machine Learning by Haussamer, Nicolai Haussamer

“…It provides an introduction to the mathematics of basic neural networks and training algorithms. Two simplified experiments based on the Black-Scholes and constant elasticity of variance models are used to demonstrate the potential usefulness of neural networks in calibration. …”
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Development of a stereo vision mixed reality framework by Le Roux, Christiaan Johannes Hendrik

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Impeller fault detection under fluctuating flow conditions using artificial neural networks

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Automated remote industrial inspection platform using spot by Roux, Dominic

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Sequential nonparametric estimation via Hermite series estimators by Stephanou, Michael Jared

“…To treat the the non-stationary setting, we introduce a novel, exponentially weighted estimator for the Spearman's rank correlation, which allows the local nonparametric correlation of a bivariate data stream to be tracked. To the best of our knowledge this is the first algorithm to be proposed for estimating a time-varying Spearman's rank correlation that does not rely on a moving window approach. …”
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ASTM assessment of a novel shoulder prosthetic design: measurement of glenoid edge motion in three degrees of freedom by Haworth, Leanne

“…The edge motion measurement system uses LVDT sensors to track the motion of rigid blocks on the end of lever arms connected to the glenoid edges. …”
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Cooperative Collision Avoidance for the Voyager Unmanned Ground Vehicle: Practical Implementation and Demonstration by Mtimkulu, Thando

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

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A model for accurate error propagation in a convergent stereovision system. by Ezebili, Ifeanyi Francis

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Real-time vehicle measurements using digital image correlation

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Assessment of the synoptic variability of the Antarctic marginal ice zone with in Situ observations by de Jong, Ehlke

“…This resulted in the development of an algorithm to automatically acquire SIC from image stills and videos. …”
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Dataset shift in land-use classification for optical remote sensing

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Trending topic extraction from social media by Mostafa, Nada Ayman A.

“…The amount of information posted on social media daily has become very vast that it became difficult to track. One of the most popular social media applications is Twitter. …”
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