The robustness of H-infinity control by Marques, Fausto

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A population Monte Carlo approach to estimating parametric bidirectional reflectance distribution functions through Markov random field parameter estimation by Louw, Markus

“…It is also found that the sets of samples representing the posterior distributions over the MRF parameter spaces are better features for material surface classification than the optimal MRF parameters returned by multiple-seed Levenberg-Marquardt minimization algorithms, which are configured to find the same MRF parameters. …”
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Improved explainability through uncertainty estimation in automatic target recognition of SAR images

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Growth-based computer aided design strategies for multimode waveguide design with the aid of functional blocks by Vale, Christopher A. W.

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Considerations towards the development of a forensic evidence management system

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Automation of ultrasonic-based product tracking & traceability in supply chains by Mkombwe, Anorld

“…This dissertation explores optimizing ultrasonic-based systems as wireless sensors for tracking and traceability in SCM and logistics. …”
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Performance evaluation of massive MIMO Systems for future wireless access systems by Gahadza, Mutsawashe

“…Simulations to evaluate spectral efficiency for massive MIMO were done in MATLAB. Linear and sub-optimal signal processing methods like minimum mean square error (MMSE), zero forcing (ZF), regularized zero forcing (RZF) and maximal ratio combining (MRC) detection and precoding algorithms with relatively less complexity were evaluated. …”
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Variable selection for kernel methods with application to binary classification by Oosthuizen, Surette

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Development of a converter for grid-tied and isolated operation of an interior permanent magnet synchronous generator, coupled to a twin-shaft gas turbine by Molaoa, Molaoa

“…The UPF and MTPA control result in the lowest and second lowest DC-link utilisation respectively when compared to NTA control. …”
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Optimisation methods applied to compensator placement by Burger, I.

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Dual sequential approximation methods in structural optimisation by Wood, Derren Wesley

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A generic computer vision human activity recognition tool. by Jacobs, Johannes Jacobus

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Condition monitoring of polymer electrolyte membrane fuel cells by De Beer, Chris

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Development of new methods for nonintrusive induction motor energy efficiency estimation by Aminu, Muhammad

“…In both the first and second methods, a robust Chicken Swarm Optimization (CSO) algorithm has been used for the first time in conjunction with a simplified inverse Г-model EC to correctly determine the induction motor parameters and hence its losses and efficiency while inservice. …”
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Digital control of line-interactive UPS by Van Papendorp, J. F.

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Sea state estimation from inertial platform data for real-time ocean wave prediction by Gwatiringa, Tinashe G

“…Additionally, local sea state information is not taken into consideration while manoeuvring, hence energy extraction from ocean waves is not optimal. More sophisticated navigation algorithms operating on a per-wave strategy may improve accuracy along a specified path and maximise the energy uptake from the waves. …”
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Towards a framework for multi class statistical modelling of shape, intensity, and kinematics in medical images by Fouefack, Jean-Rassaire

“…Both sampling and parametric based registration algorithms are proposed, which allow the establishment of dense correspondence across volumetric shapes (such as tetrahedral meshes) while preserving the spatial relationship between them. …”
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Towards a framework for multi class statistical modelling of shape, intensity and kinematics in medical images by Fouefack, Jean-Rassaire

“…Both sampling and parametric based registration algorithms are proposed, which allow the establishment of dense correspondence across volumetric shapes (such as tetrahedral meshes) while preserving the spatial relationship between them. …”
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Semiquantitative analysis of FDG PET brain scans using Neurostat and SPM by Munemo, Lionel Tapiwa

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Money Laundering Alert Prioritisation Using Machine Learning and Benford’s Law by Spies, Luka

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