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An investigation into computer vision methods to identify material other than grapes in harvested red wine grape loads.
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South African Grade 6 Mathematics teachers’ implementation of projects
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Label-dependent splitting for multi-label data
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A spatial model with vaccinations for COVID-19 in South Africa
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An activity systems view of learning programming skills in a virtual lab: A case of University of Jos, Nigeria
Published 2018“…Computer Science programming courses are the core of a Computer Science qualification and some of the learning outcomes of a Computer Science programming course are writing program code, program testing and debugging. …”
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Disrupting growth with organisational ambidexterity : GE and the global growth organisation
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Short-term sea level forecasting using machine learning techniques: A case study for South Africa
Published 2023“…The open-loop NARX model was developed using the Neural Net Time Series application from the Deep Learning Toolbox 14.0 provided by MATLAB® (Mathworks, 2020). …”
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Towards a supervised machine learning algorithm for cyberattacks detection and prevention in a smart grid cybersecurity system
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Enhancing detection of cervical cancer through deep learning: a comparative study of histological image-based algorithms
Published 2026“…To enhance model explainability, I employ Grad-CAM to visualize model decisions, offering insights into the diagnostic relevance of highlighted features. …”
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IMPROVING VISION IMPAIRED USERS ACCESS TO ELECTRONIC RESOURCES IN E-LEARNING ENVIRONMENT WITH MODIFIED ARTIFICIAL NEURAL NETWORK
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Antecedents to the effectiveness of game-based learning environments for the Net generation: A game task fit and flow perspective
Published 2017“…Additionally, the Use factor in the model is replaced by Perceived Usefulness. The Conceptual Framework can be used as an evaluation tool for effective game-based learning environments for the Net generation.…”
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Optimal energy management for a grid-tied solar PV-battery microgrid: A reinforcement learning approach
Published 2023“…Unlike other conventional model-based optimization approaches, RL doesn't need an explicit model of the optimization system to get optimal solutions. …”
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"Contextualising the interdependence of dynamic capabilities and business model innovation: A broker perspective"
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Misunderstanding in second language instructional communication
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Classification of synthesised ISAR images of small complex targets
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Machine learning for semantic segmentation of biomedical imaging data: ensemble 2D UNets for CT and PET images.
Published 2021Get full text
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