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A supervised machine-learning method for detecting steady-state visually evoked potentials for use in brain computer interfaces: A comparative assessment
Published 2018“…These estimated parameters were used to train several support vector machines (SVM) to classify the SSVEPs. …”
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Three-Dimensional Body Volume Measurement From Two-Dimensional Images: Towards A Smartphone Application
Published 2021“…There are a few sources that contribute towards the reconstruction errors. Possible sources of error include an inability to interpret pose and landmark position errors. …”
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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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Cardiac MRI segmentation with conditional random fields
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Automatic assignment of diagnosis codes to free-form text medical notes
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Artificial neural network predictive modeling of uncoated carbide tool wear when turning NST 37.2 steel
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Semi-parametric mixtures of partially linear models
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Investigating the utility of LiDAR for modelling forest canopy gaps and species classification
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A predictive model for precision tree measurements using applied machine learning
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Kinetic models for the Pt/CeO₂ catalysed water-gas shift reaction
Published 2018“…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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Modeling of solar energy potential in Africa using an artificial neural network
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Evaluating digital image correlation speckle pattern quality using finite element‑based displacement fields
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Medical record-keeping in South Africa : a medico-legal perspective
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The simulation and optimization of steady state process circuits by means of artificial neural networks
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Phonene-based topic spotting on the switchboard corpus
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The structure and properties of the dihalo(dimethyl)germanes and related compounds
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Deep learning approaches for fingerprint localization in low-power wide area networks
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Classifying yield spread movements in sparse data through triplots
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Residential load modelling to predict household consumption for design of photovoltaic systems
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