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A deep learning approach to landmark detection in tsetse fly wing images
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Enhancement of digital elevation models using tree-based ensemble machine learning algorithms
Published 2024“…The target variable (elevation error) was derived with respect to highly accurate airborne LiDAR. …”
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3D approximation of scapula bone shape from 2D X-ray images using landmark-constrained statistical shape model fitting
Published 2017“…The 3D point localization yielded average errors of (0.14, 0.07, 0.04) mm in the X, Y and Z coordinates respectively, and an absolute reconstruction error of 0.19 mm. …”
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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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Modelling of polymer seal strength: response surface methodology
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Handwritten signature verification using hidden Markov models
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Convolutional and fully convolutional neural networks for the detection of landmarks in tsetse fly wing images
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Person of interest rapid identification and tracking (POIRIT) assistance system
Published 2024“…The results demonstrate the superior performance of MS Cycle-GAN, with lower Mean Square Error (MSE) and Root Mean Square Error (RMSE) values. …”
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Language modelling for code-switched automatic speech recognition in five South African languages
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First-year higher education students’ acquisition of digital content creation literacies in discipline-specific settings
Published 2020“…The main contribution of this thesis is the finding that, when LAAs, which foster the acquisition of digital content-creation literacies are part of the curriculum, students can acquire the respective literacies through self-teaching, scaffolding from peers or senior students, trial and error, and engaging in practice within their disciplines, implying that there is no need for overt instruction as is the case of digital skills training isolated from the context of practice. …”
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Evaluation of selected language models for the generation of patient assessment summaries from uncorrected transcriptions
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A comparison framework for deep learning RFI detection algorithms in radio astronomy
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Developing a tool for project contingency estimation in Eskom Distribution Western Cape Operating Unit
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The prediction of the emission spectra of flares and solid propellant rockets
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A deep learning algorithm for contour detection in synthetic 2D biplanar X-ray images of the scapula: towards improved 3D reconstruction of the scapula
Published 2021“…The 3D point localization yielded average errors of (0.35, 0.64, 0.72) mm in the X, Y and Z directions, respectively, and a combined coordinate error of 1.16 mm. …”
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A Retrospective, Observational Study of Medico-legal Cases against Obstetricians and Gynaecologists in South Africa's Private Sector
Published 2021“…In this regard, more research into the etiology of errors is required, including the contribution of nursing and other system failures that could not be quantified adequately as part of this research project. …”
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Knowledge of South African anaesthesia registrars of the theory and practice of spinal anaesthesia for caesarean section
Published 2024“…Results A total of 126/400 responses were received, with a response rate of 31% and margin of error 7.3%. Participants' questionnaire scores were not normally distributed. …”
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A Chain of findings for digital investigations
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A Comparison Between Machine Learning Techniques to Find Leaks in Pipe Networks
Published 2018Get full text
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