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Accelerator-based look-up table for coarse-grained molecular dynamics computations
Published 2019“…The focal point of this dissertation was to use this FEV as the coarse-grained interaction potential in FEFI to conduct CG simulations of condensed phase liquid benzene. …”
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Investigating the use of ray tracing for signal-level radar simulation in space monitoring applications: a comparison of radio propagation models
Published 2023“…As such, this thesis proposes an open-source, ray-traced radar simulator that models the interactions between spaceborne targets and terrestrial radar systems. …”
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Tree species identification and leaf segmentation from natural images using deep semi-supervised learning
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EMG-based eye gestures recognition for hands free interfacing
Published 2018“…This study investigates the utilization of an Electromyography (EMG) based device to recognize five eye gestures and classify them to have a hands free interaction with different applications. The proposed eye gestures in this work includes Long Blinks, Rapid Blinks, Wink Right, Wink Left and finally Squints or frowns. …”
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A fitness landscape-integrated metaheuristic selection & configuration framework for binary programming problems.
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Phase Equilibria & thermodynamic modelling of the ternary system CO2 + 1-decanol + N-Tetradecane
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Digital Image Correlation : applications in Vehicle Dynamics
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Improving visual speech synthesis using Decision Tree Models
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Adaptive digital image correlation using neural networks
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Data security in cloud storage services
Published 2014“…Cloud storage services have changed the way users manage and interact with data outsourced to public providers. …”
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Heterologous expression and partial characterisation of enzymes predicted in silico by deep feed-forward neural networks
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning
Published 2024“…We implement a reinforcement algorithm to randomly explore new routes and discover the most optimal path through the Q-learning algorithm. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning
Published 2024“…We implement a reinforcement algorithm to randomly explore new routes and discover the most optimal path through the Q-learning algorithm. …”
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Computerized design of solvents for extractive processes
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Neurocontroller development for nonlinear processes utilising evolutionary reinforcement learning
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Children's discourse and software use in a Western Cape primary school
Published 2024“…The observations suggest that teachers and children engage in complex discursive interactions around school, learning, and play as they use computers. …”
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Optimisation methods applied to compensator placement
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XSnap : a queueing network analysis package
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