Software-defined pulse-doppler radar signal processing on graphics processors

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Pronunciation modelling and bootstrapping

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Multi-bias decomposition-based optimisation for the extraction of small-signal GaAs FET models by Van Niekerk, Cornell

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Motion planning for an autonomous terrestrial ehicle in static environments by Bester, Andries Jacobus

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Automatic building footprint extraction using remote sensing data within the City of Cape Town

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Heuristic and metaheuristic approaches to the multi-period vehicle routing problem with time windows and rolling planning horizon by Harmse, Greg

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The evaluation of different strategies to improve the diagnosis of tuberculosis in people living with HIV in resource-limited settings by Dhana, Ashar Vijay

“…Background The 2019 WHO screening and diagnostic algorithm for tuberculosis in people living with HIV (PLHIV) has 2 components: the WHO Xpert MTB/RIF (Xpert) algorithm and WHO Alere Determine TB-LAM (AlereLAM) algorithm. …”
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Die identifisering en karakterisering van veldekotope in die noordwes-Transvaalse suur- en gemengde bosveld

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How can virtual implementation modelling inform the scale-up of new molecular diagnostic tools for tuberculosis? by Dunbar, Rory

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Applying the MDCT to image compression by Muller, Rikus

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Heuristic solution approaches to the fixed charge transportation problem by Dikgale, Rarang Phillemon

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An Epileptic Seizure Detection Method from EEG Signals based on a Classifier-Driven Feature Reduction Technique by Kamel, Raymond N.

“…This thesis work aims to develop a robust and stable algorithm for epileptic seizure detection through the classification of EEG signals. …”
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Screening for Proteinopathic-related Dementias in Low-resource Clinical Contexts: A Machine Learning Approach by Lewis, Raphaella

“…Information from 20 clinical variables were used as features for the analysis. We used C5.0 algorithms to identify the most important features for PRD diagnosis and to derive an algorithm that could accurately diagnose these types of dementia. …”
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Market state discovery by Singo, Unarine

“…Furthermore, ASPC does not rely on the art of selecting good hyper-parameters such as, the number of states a priori. ICC's utility as a market state discovery algorithm is limited.…”
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Reconstruction of Functions From Non-uniformly Distributed Sampled Data in Shift-Invariant Frame Subspaces by Mkhaliphi, Mkhuseli Bruce

“…The impact of additive white Gaussian noise on the performance of the two algorithms is also investigated. The numerical tools utilized in this research consist of the theory of discrete irregular sampling, frames, and iterative techniques. …”
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Design of a rotor-tied doubly fed induction generator by Olubamiwa, OreOluwa I.

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Large-Scale clustering of acoustic segments for sub-word acoustic modelling by Lerato, Lerato

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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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Multi-objective optimisation using the cross-entropy method in CO gas management at a South African ilmenite smelter by Stadler, Johan George

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Portfolio constuction using robust weight functions by Mvubu, Thokozani

“…The Sharpe Single Index and the Improved Sharpe Single Index models have been formulated in a bid to form better performing models. In the optimization algorithms, these models tend to not select highly volatile shares and thus eliminate the possibility of making better returns in the event these shares perform very well. …”
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