Toward a sustainable energy future: Peak load shaving in commercial properties to reduce cost of energy by Woodley, Tiffany Deanne

“…The results, only demonstrated on one cluster, show the battery most often achieved a 50 kW reduction per day. In both scenarios, a learning agent trained on particular clusters of demand profiles was able to reduce peak energy demand for all unfamiliar days. …”
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Improving the generalisabiility of a deep learning model for global forest classification through image normalisation, enhancement and augmentation by Swaine, Michael

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Development and implementation of learning events to decrease the incidence of unplanned extubation in a peadiatric critical care unit

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Deep learning for supernovae detection by Amar, Gilad

“…In future astronomical sky surveys it will be humanly impossible to classify the tens of thousands of candidate transients detected per night. 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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Evaluating transformers as memory systems in reinforcement learning by Makkink, Thomas

“…Memory is an important component of effective learning systems and is crucial in non-Markovian as well as partially observable environments. …”
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Applications of Machine Learning in Apple Crop Yield Prediction by van den Heever, Deirdre

“…This study proposes the application of machine learning techniques to predict yield in the apple industry. …”
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The use of deep learning to predict HER2 status in breast cancer directly from histopathology slides by Smith, Alexandra Nicole

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Evaluating the suitability of UAV data for mapping dominant plant species in a heterogenous fynbos seep wetland by Musungu, Kevin

“…Random Forest proved the most reliable, with generally better overall and per- class accuracies than the other machine learning classifiers. …”
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Using Machine Learning and the Water Evaluation and Planning model to Evaluate Climate Change Impacts on Surface Water Allocation in the Upper Awash Sub-Basin, Ethiopia by Hirko, Deme Betele

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Application of statistical pattern recognition and deep learning for morphological classification in radio astronomy by Becker, Adolf Burger

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Modelling highly imbalanced credit card fraud detection data using statistical learning by Moodley, Revesa

“…Credit card fraud is a major concern for businesses worldwide, yielding losses of up to $67 billion per year in major banks and institutions. Machine learning techniques used to detect fraudulent transactions face several challenges when dealing with highly imbalanced data, which is often the case with fraud detection. …”
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Instrumental conditioning and learning in Poroderma Pantherinum by Meyer, Imke

“…Four juvenile sharks were trained through operant conditioning using visual and auditory stimuli for ten days each, consisting of six trials per day. A fifth juvenile shark, acting as the control, was trained through the same method without the auditory stimulus to test the influence thereof on the learning rates of Leopard catsharks. …”
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Tools for learning: a socio-cultural analysis of pedagogy in early reading competency by Harrison, Giulietta Domenica

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Machine learning in astronomy by Du Buisson, Lise

“…The field of supernova cosmology, for example, is seeing continuous development with upcoming surveys set to produce a vast amount of data that will require new statistical inference and machine learning techniques for processing and analysis. Distinguishing between real objects and artefacts is one of the first steps in any transient science pipeline and, currently, is still carried out by humans - often leading to hand scanners having to sort hundreds or thousands of images per night. …”
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The perspectives of school management team in creating a safe learning environment

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