Map point selection for hardware constrained visual simultaneous localisation and mapping. by Muller, Christiaan

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Estimation of genetic and non-genetic parameters for growth traits in two beef cattle breeds in Botswana by Raphaka, Kethusegile

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Design and development of an adaptive external bone fracture fixation system by Herbert, Christopher

“…Standard systems still utilise expensive and cumbersome setups, while developed devices require computational consultation and extensive training. With such complex procedural actions required to facilitate multi-planar correction, most devices utilise computational support, which in turn minimizes the clinician’s control. …”
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An initial solution heuristic for the vehicle routing and scheduling problem.

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Assessing the influence of observations on the generalization performance of the kernel Fisher discriminant classifier by Lamont, Morné Michael Connell

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Calibrating a stochastic SIR-model to simulated data using different calibration methods : a tutorial & comparison of methods by Van Staden, Wynand-Junior

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Formulation of a weakly compressible two-fluid flow solver and the development of a compressive surface capturing scheme using the volume-of-fluid approach by Heyns, Johan Adam

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The impact of thermophysical properties on nanofluid-based solar collector performance by Gakingo, Godfrey Kabungo

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Numerical simulation of bubble columns by integration of bubble cell model into the population balance framework by Khama, Mopeli

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Development of parallel strongly coupled hybrid fluid-structure interaction technology involving thin geometrically non-linear structures

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Development of a full-stack RoboRacer autonomous racing system capable of overtaking in a head-to-head race by Flood, Christopher Michael

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Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station by Arwa, Erick Odhiambo

“…Unlike other optimization methods such as numerical and soft computing techniques, RL does not require an accurate model of the optimization environment in order to arrive at an optimal solution. …”
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Developing a minimal-input one-dimensional methodology for modelling axial compressors using a diffuser analogy by Barlin, Daniel

“…Despite notable advances in Computational Fluid Dynamics as a tool for gas turbine design, the analysis and performance prediction of turbomachinery still benefits greatly from the use of one- dimensional mean-line modelling, as it can provide results of acceptable accuracy while requiring fewer geometric inputs, as well as comparatively lower computational expenses. …”
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Enhancing detection of cervical cancer through deep learning: a comparative study of histological image-based algorithms by Tjale, Palesa

“…Additionally, the computational efficiency and ease of training of Visual Prompting Models suggest their feasibility for deployment in resource-constrained settings where expert pathology review is limited. …”
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Optimization of a supercritical carbon dioxide solar thermal power system by Van der Westhuizen, Ruan

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Multi-Objective Optimization Framework for Generation Expansion Planning Under Transmission Constraints by Ruzive, Grace

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