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Modelling methodology for assessing the impact of new technology on complex sociotechnical systems
Published 2015Get full text
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Investigating local ancestry inference models in mixed ancestry individual genomes
Published 2023“…Performance was evaluated based on performance measures borrowed from the machine learning confusion matrix. Finally, we noted that it may be more practical to extend existing models to incorporate more realistic biological assumptions. …”
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CONCEPTUAL KNOWLEDGE MODEL FOR IMPROVING TERM SIMILARITY IN RETRIEVAL OF WEB DOCUMENTS
Published 2016-05ThesisFull Text AvailableAccess Repository -
A sustainable operations management model in a non-profit organisation
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Bone age estimation using machine learning approach: An assessment using hand and wrist bones of South African children
Published 2024“…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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Using machine learning and agent-based simulation to predict learner progress for the South African high school education system
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Closing the strategy execution gap in the public sector : a conceptual model
Published 2015Get full text
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The use of time series analysis as an analytical and predictive model for share prices on the Johannesburg Stock Exchange
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Framework for process improvement in manufacturing of metal packaging
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Estimating the remaining useful lifetime of a vertical gripper by using prognostics and health management
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Teachers' views about the effectiveness of short visits on their instructional performances
Published 2020“…However, the short visits’ model has been perceived by STEM teachers at two schools to have a minimal impact on their instructional performances, since it lacks improvement plans, follow-ups, and resources. …”
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InSAR time series analysis and machine learning for ground subsidence monitoring and susceptibility mapping in Midvaal, South Africa
Published 2025“…This study advances the understanding and management of ground subsidence by integrating InSAR time series analysis, machine learning, and environmental modelling into a robust, scalable framework for real-time monitoring and risk mitigation. …”
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