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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Non-destructive measurement of pomegranate fruit quality by Arendse, Ebrahiema

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The relationship between patient, carer and staff perceptions of need in an assertive community treatment team in South Africa by Cossie, Qhama Zamani

“…Kappa statistics were computed to assess agreement in the participants' perspectives.…”
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A comparative study of tree - based models and their applications in modern nance

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A Cross Platform Framework for Software Defined Radio by Brady, Richard

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Analysis of the particle swarm optimization algorithm

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Reinforcement learning for the control of traffic flow on highways by Schmidt-Dumont, Thorsten

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Numerical Modelling of Seismic Activity at Tabular Orebody Mines in South Africa using the Boundary Element Method by Gerber, Jacques Dewald

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Assessment of the behaviour factor for the seismic design of reinforced concrete structural walls according to SANS 10160 : part 4 by Spathelf, Christian Alexander

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Design and Optimization of a Bluff Body for Energy Harvesting of Transverse Galloping Induced by Low-Speed Wind Using Bernstein Polynomial Equations by AbdelMoneim, Youssef Wael

“…In this thesis, a computational framework is proposed for optimizing the aerodynamic shape of bluff bodies used in galloping-based wind energy harvesters. …”
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Renormalization of cavity field theories by Stoddart, A J

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Valuing American-style derivatives by simulation : alternative regression-based methods

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Short-term wind power forecasting using artificial neural networks-based ensemble model by Chen,Qin

“…However, one requires more computational power and a longer training time to train the model with a higher data resolution and a larger training sample size. …”
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