Predicting anomalous weather events using supervised machine learning by Williams, Edwina

“…The predictions were evaluated based on the next day prediction error and the anomaly detection rate in the predictions. …”
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Improving region based CNN object detector using bayesian optimization by Muhammad, Amgad

“…Using Deep Neural Networks for object detection tasks has had groundbreaking results on several object detection benchmarks. Although the trained models have high capacity and strong discrimination power, yet inaccurate localization is a major source of error for those detection systems. …”
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Multiple radar environment emission deinterleaving and PRI prediction by Manickchand, Kaveer

“…The different TOA based deinterleaving algorithms investigated were sequence search (SS), TOA difference histogram, CDIF, SDIF, CDIF with SS (CDIF SS), SDIF with SS (SDIF SS) and interleaved pulse train spectrum estimation. The interleaved pulse train spectrum estimation algorithm results could not be replicated and were not included in simulations. …”
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Explaining neural networks used for modeling credit risk by Mohamed, Zhunaid

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Machine learning in astronomy by Du Buisson, Lise

“…Using principal component analysis and linear discriminant analysis, we construct a grand total of 56 feature sets with which to train, optimise and test a Minimum Error Classifier (MEC), a naive Bayes classifier, a k-Nearest Neighbours (kNN) algorithm, a Support Vector Machine (SVM) and the SkyNet artificial neural network.…”
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Applications of Machine Learning in Apple Crop Yield Prediction by van den Heever, Deirdre

“…The results show that the random forest model is the best performing model overall with a Root Mean Square Error (RMSE) of 21.52 and 14.14 using the chronological and random data splits respectively. …”
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Evaluation and comparison of saw mark features using a stereomicroscope and micro-XCT scanner

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Efficient End-to-end Autonomous Driving by Eraqi, Hesham

“…Therefore, researchers turn to train artificial neural networks from front-facing camera data stream along with the associated steering angles. …”
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Building Speech-Driven Assessment Tools for Afrikaans and isiXhosa Children by Louw, Retief Gideon Arno

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Kinetic models for the Pt/CeO₂ catalysed water-gas shift reaction by Brown, Darryl Edward

“…A fuel processing train converts fossil fuels into hydrogen for use in fuel cells and eliminates the need for hydrogen storage as hydrogen is produced on demand. …”
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Development of appropriate steam turbine models in Flownex by Neerputh, Rahendra Laljith

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Automated reading of high volume water meters by Ulyate, Jessica

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Automatic assignment of diagnosis codes to free-form text medical notes by Strydom, Stefan

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A review-aware multi-modal neural collaborative filtering recommender system by Singh, Pavan

“…The metrics used to evaluate the model include predictive accuracy metrics such as mean absolute error, amongst others, as well as top-n evaluation metrics such as recall@n and precision@n. …”
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Predicting the next purchase date for an individual customer using machine learning by Droomer, Marli

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The responses of primary school Heads of Department to curriculum changes since 2005

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Investigating the utility of LiDAR for modelling forest canopy gaps and species classification by Lombard, Leighton

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Illumination-invariant face skin pigmentation prediction by Mbatha, Success Katlego

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Smartphone application architecture and security for patient vital signs sensors and indicators

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Beam ripple modelling in wideband dual-reflector antenna systems by Wolmarans, Jacques

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