Combinatorial evolution of feedforward neural network models for chemical processes by Schmitz, Gregor Peter Josef

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Nutritional factors associated with oral lesions in HIV disease and TB infection by Phooko, Puleng M. (Puleng Mpopi)

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Analysis of RED packet loss performance in a simulated IP WAN

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Influence of catalyst ink mixing procedures on catalyst layer properties and in-situ PEMFC performance by Jacobs, Clayton Jeffrey

“…Overall, fuel cell performance is not significantly affected by the mixing step however; mixing does have an observable impact on catalyst layer formulation. Generally, when optimizing membrane electrode assembly fabrication, mixing parameters should be carefully chosen. …”
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Temperature reconstruction and acoustic time of flight determination for boiler furnace exit temperature measurement by Raikes, Geoff

“…An improved reconstruction technique using radial basis functions (RBF) for interpolation and a least squares algorithm is simulated and its performance was compared to cubic spline interpolation, regression and Lagrange interpolation by evaluating its reconstruction accuracy in terms of mean and root-mean-squared (RMS) error when reconstructing set temperature profiles. Various parameters including transceiver positions, grid divisions and time of flight error, are investigated in terms of how they inform acoustic pyrometry implementation. …”
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A contingent claims analysis of the pricing of rights isssues with discontinuous diffusion processes by Botha, Russel John

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Satellite change detection in the albany thicket biome by Mahlasi, Craig

“…Finally, it was shown that using meta-learning the TempCNN can be adapted to be robust in shifting domains by learning the most optimal parameter initializations that allow for capturing the invariant embeddings that facilitate generalisation across domains possible.…”
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Effective fisheries management with few data: a management procedure approach by Geromont, Helena Francine

“…Complex stock assessments which typically rely on a comprehensive set of age or length data are traditionally seen as an essential requirement for sound fisheries management. …”
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Effective fisheries management with few data: A management procedure approach by Geromont, Helena Francine

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The search for biomarkers in the growth prediction of the West Coast Rock Lobster, Jasus lalandii by Munian, Andre

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Neurocontroller development for nonlinear processes utilising evolutionary reinforcement learning by Conradie, Alex van Eck

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Aspects of model development using regression quantiles and elemental regressions by Ranganai, Edmore

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Low-Complexity Algorithms for Channel Estimation in Optimised Pilot-Assisted Wireless OFDM Systems by Golovins, Eugene

“…The resultant contribution is manifested by the closed-form analytical expressions of the upper bound (suboptimal approximate value) on the optimal pilot-to-data power ratio (PDR) as a function of a number of design parameters (number of subcarriers, number of pilots, number of transmit antennas, effective order of the channel model, maximum Doppler shift, SNR, etc.). …”
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Non-linear neurocontrol of chemical processes using reinforcement learning by Hunter, Stephen Leon

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Identification of new therapeutic compounds against carbapenemase-producing Klebsiella pneumoniae using a novel agar-based high-throughput microarray compound screening approach by Mahlangu, Zandile

“…The optimized parameters for effectively running the high-throughput antibacterial screen were set at 1.5% (w/v) CNF immobilization matrix into which spots were printed, 1.6% hydroxypropyl methylcellulose printing solution – serving as a binding agent for compounds, inoculum density ranging between ~1 x 105 and 2 x 105 CFU/mL, 0.8% (w/v) seeding agar which formed a ~0.4 mm layer into which printed compounds diffused into and affected bacteria, and 1.5% (w/v) plain agar which formed a ~1.6 mm layer overlaying the thin seeded agar layer. …”
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Design and implementation of a dual polarised L-band parabolic dish antenna for NeXtRAD by Paine, Stephen Thomas

“…The dissertation details the design and manufacturing process followed. All antenna parameters have been simulated using a combination of FEKO v7 and CST 2014 to compare and verify the designs and simulations. …”
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An online learning algorithm for technical trading by Murphy, Nicholas John

“…We use an adversarial expert based online learning algorithm to learn the optimal parameters required to maximise wealth trading zero-cost portfolio strategies. …”
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Flexible Media Polishing Machine for Ti-6Al-4V Components by de Jongh, Quintin Oliver

“…Analysis is based on surface roughness and texture change over time (or change over other parameters), as well as the changes in force over parameters such as media hydration, media diamond concentration and media velocity. …”
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Modelling of surfacing seal binder ageing and rheology by Goosen, Elaine Simone

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Automated pre-processing of fluorescence microscopy data for the analysis of mitophagy. by Batt, Richard

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