Semi-supervised machine learning for livestock threat classification using gps data by De Swardt, Urs

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A Comparison Between Machine Learning Techniques to Find Leaks in Pipe Networks

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Machine learning approach to radio frequency interference(RFI) classification in Radio Astronomy by Wolfaardt, Cornelis Johannes

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Machine learning approach to slice admission control in 5G wireless network by Ojijo, Mourice

“…The thesis introduces inter-domain resource models for n-class zoned 5G slices. By increasing the probability of admission during periods of resource availability, the findings demonstrate that the reinforcement learning agent improves long-term utility and fairness by 68.2%. …”
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Predicting process performance in the manufacturing and agricultural sectors using machine learning techniques by Khoza, Sibusiso Comfort

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A decision support tool for implementing machine learning in SME manufacturing companies by Van Coller, Christiaan

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

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Pronunciation modelling and bootstrapping

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Cape Town Airbnb price prediction: an exploration of spatial statistic and machine learning methods by Williams, Courtney

“…Using data from InsideAirbnb, traditional, spatial and machine learning models are compared and contrasted. …”
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Machine Learning techniques to discover and understand the population of flare stars in MeerLICHT data by Bangiso, Aphiwe

“…In this work, we develop generic machine learning models that classify a given transient object from the observed light curve. …”
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A Machine Learning Framework for Predicting Fabrication Hours for Industrial Steel Structure Projects by Ibrahim, Dalia

“…Thus, the objective of this research is to develop a machine learning model to estimate the fabrication hours for industrial steel structures projects; addressing a relatively understudied topic. …”
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Protection-based Distributed Generation Penetration Limits on MV feeders - Using Machine Learning by Nxumalo, Emmanuel

“…The dataset represents carefully anonymized distribution networks with accepted protection philosophy applied. A supervised machine learning algorithm is applied after nontrivial data pre-processing through recommendation systems and shuffling. …”
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Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification by Youssef, Sarah

“…This research implements machine learning algorithms in detecting trade manipulations where trade behaviors artificially impact the National Best Bid and Offer (NBBO) of traded stocks. …”
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Reducing the Burden of Aerial Image Labelling Through Human-in-the-Loop Machine Learning Methods by Razzak, Muhammed T

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Discriminating between forest plantation genera using remote sensing and machine learning algorithms by Higgs, Caley

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Enhanced Data Sampling and Feature Generation for Machine Learning-based Lithography Hotspot Detection by Ismail, Mohamed

“…Identifying these patterns early in the design phase is crucial for high yield fabrication. Machine Learning-based (ML) hotspot detection techniques are promising since they have shown superior results to other methods such as pattern matching. …”
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Initial attempt: classification of Simmental cattle based on body conformation using machine learning by Schulenburg, Suzette

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Collection, evaluation and selection of scientific literature : machine learning, bibliometrics and the World Wide Web by Connan, James

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Machine Learning for Physics Applications: Quantum Algorithm Design, Chaotic Dynamics, and Mass Spectrometry by Rouillard, Amy Shirley

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Off-chain Transaction Routing in Payment Channel Networks: A Machine Learning Approach by Kadry, Heba

“…This study proposes a novel machine learning-based routing technique for fully distributed and efficient off-chain transactions to be used within the PCNs. …”
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