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

“…Condition monitoring of electrical machines is a field which continuously demands improvement, especially as the tasks performed by these machines become more demanding and complex. …”
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The application of advanced signal processing techniques to the condition monitoring of electrical machine drive systems by Barendse, Paul Stanley

“…Condition monitoring of electrical machines is a field which continuously demands improvement, especially as the tasks performed by these machines become more demanding and complex. …”
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Structural analysis in a distributed collaboratory by Van Rooyen, G. C. (Gert Cornelis)

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

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Diagnostic accuracy of C-reactive protein and procalcitonin, compared with composite reference standards, to discriminate between tuberculosis, Pneumocystis jirovecii pneumonia and... by Mendelson, Fiona

“…Simple, affordable tests are needed for developing improved clinical algorithms. C-reactive protein (CRP) and procalcitonin have shown diagnostic utility for respiratory tract infections, however few studies have focussed on their ability to distinguish between tuberculosis, CAP, and PJP in HIV-infected inpatients. …”
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An analysis of hybrid hidden Markov models for cetacean detection by Edwards, David James Erich

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The ride comfort vs. handling compromise for off-road vehicles

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Newer and novel sputum versus non-sputum-based tools for the diagnosis of active tuberculosis in different patient sub-populations by Esmail, Aliasgar

“…The utility of POC-Xpert Ultra in detecting likely infectious patients was also specifically evaluated. …”
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Low complexity turbo equalization using superstructures

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A computer vision framework towards automated scene understanding & analysis by De Greeff, Sarah-lee

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Robust control of a triple-effect evaporator

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Heterologous expression and partial characterisation of enzymes predicted in silico by deep feed-forward neural networks by Foster, Bryce John

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Applying the Herman-Beta probabilistic method to MV feeders by Chihota, Munyaradzi Justice

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Reducing the Burden of Aerial Image Labelling Through Human-in-the-Loop Machine Learning Methods by Razzak, Muhammed T

“…Active learning looks at reducing the number of labelled samples required by a model to achieve an acceptable performance level. Within the context of deep learning, the utility of the various active learning strategies developed is uncertain, with conflicting results within the literature. …”
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Distributed binary decision diagrams by Fasan, Mary Oluwasola

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Neural networks in control engineering by Trossbach, W

“…However, despite its superior modelling capability, the tests performed using the Williams and Zipser training algorithm show that such structures often fail to converge and require excessive computing power and time, when increased in size. …”
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Semantic and visual robotic navigation in human-centered environments by Indermun, Shival

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Access network selection schemes for multiple calls in next generation wireless networks by Orimolade, Joseph Folorunsho

“…This algorithm aggregates the QoS requirement of the individual application into a collective QoS for the group calls. …”
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An analysis of prognostic, endoscopic and transjugular intrahepatic portosystemic salvage shunting factors influencing rebleeding and death in portal hypertensive patients with lif... by Krige, Jacobus

“…In making recommendations for future research, new prognostic scoring systems incorporating artificial intelligence, machine learning algorithms and neural network models will need to be assessed and included as part of essential variceal bleeding clinical algorithms. …”
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Diagnostic accuracy of novel sputum and non-sputum-based tuberculosis diagnostics in HIV-positive patients initiating anti-retroviral therapy by Ndlangalavu, Gcobisa

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