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A Higher-Order VOF Interface Reconstruction Scheme for Non-Orthogonal Structured Grids - with Application to Surface Tension Modelling
Published 2023“…The volume-of-fluid (VOF) method [24] is widely used to track the interface for the purpose of simulating liquid-gas interfacial flows numerically. …”
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Segmented wave sea clutter modelling in littoral environments
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Artificial neural network model for prediction of friction factor in pipe flow
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Artificial neural networks modelling for mass appraisal of properties
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Efficient End-to-end Autonomous Driving
Published 2020“…Steering a car through traffic is a complex task that is difficult to cast into algorithms. Therefore, researchers turn to train artificial neural networks from front-facing camera data stream along with the associated steering angles. …”
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A feasibility study of elementary reinforcement learning-based process control
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An investigation of amygdala and hippocampal subregions and their relation to ageing in anxiety and related disorders
Published 2025“…Subfield volumes were segmented using an automated segmentation algorithm from Freesurfer (v6.0). The brain age analysis was performed by using a previously trained machine learning algorithm that provides brain age estimates for the whole brain, as well as for regions of interest (occipital, frontal, temporal, parietal, cingulate, insula, or cerebellar–subcortical features) (Kaufmann et al., 2019). …”
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The development of a novel method to identify and describe driving events using only MEMS-sensors in an unmounted smartphone.
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A clustering approach towards the identification of suitable waiting areas for drivers of transportation network companies
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Characterisation of small, close-approaching near-earth asteroids
Published 2021“…The taxonomic probabilities were determined with the colours g0−r 0 and r0−i 0 , in combination with a machine learning (ML) algorithm trained on synthetic colours from observed spectra obtained from literature. …”
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Countermeasure Allocation and Load-Out Optimisation
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Household water end-use identification in the presence of rudimentary data
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Machine Learning for Radio Frequency Interference Flagging
Published 2021“…This work explores the application of supervised machine learning algorithms for RFI flagging, trained on real measurement data and simulated data with simulated RFI. …”
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EMG-based eye gestures recognition for hands free interfacing
Published 2018“…Additionally, we are using the thresholding algorithm to extract the features from all the gestures. …”
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D-Tree : examining the efficiency of a community case management mobile medical diagnostic tool
Published 2016“…To achieve this overarching goal D-Tree firstly, develops and validates clinical algorithms for use by health workers, secondly they design software for delivering these algorithms on mobile phones, and thirdly enable the effective use of these algorithms on a scalable basis. …”
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End-to-End Autonomous Quadcopter using Reinforcement Learning
Published 2024“…Addressing this challenge will require developing RL algorithms that can either adapt to these variations online or learn from a diverse set of training environments. …”
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Multivariate nonlinear time series analysis of dynamic process systems
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A machine learning hybrid approach to forecasting equity returns volatility: A South African perspective.
Published 2025“…This research considered daily prices of the JSE ALSI from January 2004 to December 2022, where 80% of the dataset was used for training purposes and 20% was used for testing purposes. …”
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Cardiac MRI segmentation with conditional random fields
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