Application of machine learning and knowledge-based systems to support decision-making on fate and behaviour of engineered nanoparticles in aqueous environment

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Application of convolutional neural networks to building segmentation in aerial images by Olaleye, Kayode Kolawole, Stellenbosch University. Faculty of Science. Dept. of Mathematical Sciences. Division Applied Mathematics.

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A multi-mode attitude determination and control system for small satellites by Steyn, Willem Hermanus

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The robustness of H-infinity control by Marques, Fausto

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Sensorless control of dual three-phase permanent magnet vernier machine for ship propulsion by Teymoori, Vahid

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The dynamic modelling of a laboratory-scale packed distillation column, used to separate mixtures of tetrafluoroethylene, hexafluoropropylene and octafluorocyclobutane at sub-zero...

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Concrete and symbolic linearisability checking of non-blocking concurrent data structures by Du Toit, Nicole Cathryn

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Improved explainability through uncertainty estimation in automatic target recognition of SAR images

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Spatiotemporal Performance Analysis to Identify Degradation Trends in a Utility-Scale PV Plant by Bekker, Neil Francois

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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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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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Rapid distributed processing of medium velocity geospatial datastreams into contextualised 3D visualisations : evaluating the cloud computing paradigm

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Semiquantitative analysis of FDG PET brain scans using Neurostat and SPM by Munemo, Lionel Tapiwa

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

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

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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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Thermal and colour data fusion for people detection and tracking by Joubert, Pierre

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The Design of a Low-Cost Traffic Calming Radar - Development of a radar solution intended to demonstrate proof of concept by Matu, Unathi Neo

“…The target detection and the velocity estimation algorithms were executed on a Samsung Series 7 Chronos laptop. …”
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