Implementation of machine learning to improve the decision-making process of end-of-usage products in a circular economy by Diem, Michael

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Machine learning and high spatial resolution multi-temporal Sentinel-2 imagery for crop type classification by Maponya, Mmamokoma Grace

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Investigating fully convolutional networks for bio-image segmentation by Wiehman, Stiaan

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Load Balancing in Mobile Networks Using Deep Reinforcement Learning and Traffic Prediction by Raafat Mokhtar Abouamasha, Shorouk

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Computational Psychiatry - Neuropsychological Bayesian reinforcement learning by Wolpe, Zach

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An analysis of hybrid hidden Markov models for cetacean detection by Edwards, David James Erich

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Exploration of reinforcement learning algorithms implemented in the Wrapslide environment by Jordaan, Ruan

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A framework for intraday ensemble trading on the foreign exchange market by Koegelenberg, Dirk Johan Coetzee

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Exploring the ethereum dataset with the aim of price trend prediction using the recurrent neutral network, LSTM, gated recurrent unit and an ensemble algorithm in combination with... by Van Wyk, Chad

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Machine learning for semantic segmentation of biomedical imaging data: ensemble 2D UNets for CT and PET images. by Engelbrecht, J. A.

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Towards a supervised machine learning algorithm for cyberattacks detection and prevention in a smart grid cybersecurity system by Banda, Takudzwa Vincent

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Short-term sea level forecasting using machine learning techniques: A case study for South Africa by Ingreso, Maria Kristina

“…Seawater levels along the South African coastline are investigated with the use of machine learning techniques. In this study, data-driven methods, which are more computationally efficient in comparison to numerical models, are applied to predict seawater levels. …”
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A deep learning system for x-ray analysis and patient diagnosis by Faure, James

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A meta-learning framework for link prediction algorithm selection based on network structure analysis by Brown, Lienke Marie

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Reinforcement Learning-based Access Schemes in Cognitive Radio Networks by ElGuindy, Ehab Maged

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Classification of synthesised ISAR images of small complex targets by Stewart-Burger, Cullen

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Identifying predictive markers in complex samples of biogenic volatile compounds using GC×GC-TOFMS and machine learning

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The Development of a Reduced Order Model for Prediction of Haemodynamic and Biochemical Changes in a Computational Cerebral Aneurysm Thrombosis Model by Ngwenya, Tinashe

“…The CFD results were used to build reduced-order models using machine learning algorithms. Multiple polynomial regression and logistic regression machine learning algorithms were used to predict clot size in patients. …”
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Fruit detection in an orchard using deep learning approaches by Koech, Kiprono Elijah

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Bone age estimation using machine learning approach: An assessment using hand and wrist bones of South African children by Nam, Yuseung

“…Bone age estimation benefits more from a machine learning model than a simple linear regression model when using a raw X-ray image input. …”
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