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Approximation approaches for training neural network problems with dynamic mini-batch sub-sampled losses
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Particle filtering on hybrid dynamical systems for sensor fault detection
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Biomechanical assessment of RTSA functional outcomes towards optimising the prosthesis configuration
Published 2019“…A biomechanical assessment framework was established to characterise reverse shoulder function and the effect of modifying prosthesis configuration. It utilised the Newcastle Shoulder Model (NSM) and a custom-made impingement detection algorithm to simulate seven standardised motions that either elevated or rotated the humerus. …”
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A GPU based X-Engine for the MeerKAT Radio Telescope
Published 2021“…The 40 GbE ingest, GPU correlation algorithm and the software pipeline framework that links these two together were identified as the three main sub-systems to focus on in this dissertation. …”
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Autonomous airborne refueling : relative state estimation
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A robust stall and stall-precursor detection method for axial fans
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Optimisation of complex distillation colomn systems using rigorous models
Published 2014“…Additionally, an increase in the number of external reactors resulted in lower utility costs (mainly as a result of lower flow rates in the side streams). …”
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An automated computer-assisted approximation of the nose in South Africans from CBCT (Cone Beam Computed Tomography) scans
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Neural networks in control engineering
Published 2023“…Since the control law requires that these models are exact inverses, an iterative inversion algorithm has to be used to improve the values produced by the inverse combination model. …”
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Assessing OpenGL for 2D rendering of geospatial data
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Development and comparison of strategies for the reconstruction of full and partial skull geometries
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Estimating outdoor water use allowing for the possible impacts of climate change
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Modelling of the achilles and patella tendon forces during treadmill running.
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Structural performance evaluation of concrete arch dams using ambient vibration monitoring and GNNS systems
Published 2021“…Due to the nonlinear relationship between environmental variables and dam responses, a machine learning-based algorithm known as Gaussian process regression models were developed to predict natural frequencies. …”
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Compounding a class of Rayleigh distributions : an objective Bayesian approach
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Multi-objective optimisation under deep uncertainty
Published 2018“…Nevertheless, analysis of the length of the planning horizon and its effects on the solutions to the proposed frameworks indicate that utilising the three-stage models is more efficient for longer periods because the differences between the solutions of the two proposed structures increase by any iteration of the algorithms in moving horizon models. …”
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Interactive Expert System for Budgeting World Bank Consultancy Projects
Published 2021“…However, conventional approaches may result in uncertainty and usually do not utilize the organizational knowledge of past projects. …”
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Active tool vibration control and tool condition monitoring using a self-sensing actuator
Published 2023Get full text
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