Rekenaargesteunde instelling van gekoppelde-resoneerderfilters deur die gebruik van modelgebaseerde parameteronttrekking by Van der Colff, A. P. E.

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The application of advanced signal processing techniques to the condition monitoring of electrical machine drive systems by Barendse_PS

“…The results indicate that the algorithm's predictive ability is capable of extracting fault information under non-stationary operating conditions. …”
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The application of advanced signal processing techniques to the condition monitoring of electrical machine drive systems by Barendse, Paul Stanley

“…The results indicate that the algorithm's predictive ability is capable of extracting fault information under non-stationary operating conditions. …”
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Variable selection for kernel methods with application to binary classification by Oosthuizen, Surette

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Joint call admission control incorporating pricing for congestion control to enhance QoS and ensure revenue for network operators in next generation wireless networks by Kabahuma, Sarah

“…An analytical model based on a multi-dimensional Markov decision process is used to model JCAC algorithm in an NGWN. The JCAC algorithm used is load-based whereby calls arriving in the network are admitted to the least loaded RATs. …”
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Multilevel models for the analysis of ordinal data

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The analysis of hierarchical and unbalanced complex survey data using multilevel models

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The statistical modelling of growth

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Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation

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A graph-based framework for comparing curricula

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Robust control of a triple-effect evaporator

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Personalized fall detection monitoring system based on user movements

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Latency Optimization in Smart Meter Networks by Kassab, Amr

“…In this thesis, we consider the problem of smart meter networks with data collection to a central point within acceptable delay and least consumed energy. In smart metering applications, transferring and collecting data within delay constraints is crucial. …”
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Pricing American/Bermudan-style Options under Stochastic Volatility by Jankelow, Adam

“…We price American options under the Heston and Bates stochastic volatility models where volatility is assumed to be a latent process. The pricing algorithm is based on the least-squares Monte Carlo approach made popular by Longstaff and Schwartz (2001). …”
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Gaussian process regression approach to pricing multi-asset American options by Mokone, Christoffel Maboe

“…In particular, the Gaussian Process Regression Monte Carlo (GPR-MC) algorithm developed by Goudenege et al (2019). is explored, and ` its performance, i.e., its accuracy and efficiency, is benchmarked against the Least Squares Regression Method (LSM) developed by Carriere (1996) and popularised by Longstaff and Schwartz (2001). …”
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The design of a digital photogrammetric metrology system for the semi-automated surveying and recording of pipe dimensions in industrial plants by Cammidge, Mark

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