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A comparative study of recurrent neural networks and statistical techniques for forecasting the stock prices of JSE-listed securities
Published 2023“…The number of input observations utilised were varied from four to fifteen observations whilst making forecasts from one up to ten timesteps into the future. …”
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A computer vision framework towards automated scene understanding & analysis
Published 2025“…Most computer vision algorithms are deep learning based approaches but differ significantly in architecture. …”
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A critical evaluation of a community based mother-infant intervention project with special emphasis on infant attachment
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Operational cost and emissions minimisation of a multi-microgrid system through energy management
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Metaheuristics for the selection and scheduling of jobs with time-dependent durations
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Relative orientation with limited control in close range Photogrammetry
Published 2016“…Throughout the thesis algorithms are developed which make it possible to execute all computations on computers with limited memory capacity. …”
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Hydraulic Data Preprocessing for Anomaly Based Intrusion Detection on SCADA Level of Water Treatment Systems
Published 2024“…The best performance was achieved when the preprocessed dataset was randomly split into training and testing, yielding a significant improvement in accuracy, F1 score and time to detection for both algorithms used in the study, namely Fine Tree and Boosted Trees Ensemble.…”
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The use of artificial intelligence for business optimisation in banking: case of Nigeria
Published 2025“…AI technologies such as the Sentiment intensity analyser, LR, K-means algorithm, Naïve Bayes algorithm, K-nearest neighbour, and Recommendation engines, were used for various tasks. …”
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A decision support framework for machine learning applications
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Optimising pressure profiles in superplastic forming
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Improved explainability through uncertainty estimation in automatic target recognition of SAR images
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Spatiotemporal Performance Analysis to Identify Degradation Trends in a Utility-Scale PV Plant
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Growth-based computer aided design strategies for multimode waveguide design with the aid of functional blocks
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Variable selection for kernel methods with application to binary classification
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Development of a converter for grid-tied and isolated operation of an interior permanent magnet synchronous generator, coupled to a twin-shaft gas turbine
Published 2019“…The UPF and MTPA control result in the lowest and second lowest DC-link utilisation respectively when compared to NTA control. …”
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A generic computer vision human activity recognition tool.
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Minimising the total travel distance to pick orders on a unidirectional picking line
Published 2012Get full text
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Money Laundering Alert Prioritisation Using Machine Learning and Benford’s Law
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