Exploring the invasion of the guttural toad Sclerophrys gutturalis in Cape Town through a multidisciplinary approach by Vimercati, Giovanni

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Development of a robust myoelectric control architecture for lower limb robotic prostheses applications. by Garikayi, Talon

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End-to-End Autonomous Quadcopter using Reinforcement Learning by Chawa, Mohamed Marwan

“…This thesis investigates the potential of Reinforcement Learning (RL) for achieving robust and adaptable quadcopter control, focusing on trajectory and attitude stabilization. …”
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Design and optimization of hydrofoil-assisted catamarans by Migeotte, Gunther

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Die ervaring van vier adolessente met kogliere inplantings by Du Toit, Susan

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Finite element analysis of flows in secondary settling tanks by Kleine, Dorothee

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Organisational transformation : a Quantum Leap from the traditional to the entrepreneurial

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A Virtual-Reality-Based Dental Simulator for Endodontics with Automated Formative Feedback by Abo El Ela, Yousef Salah

“…Within dentistry, endodontics presents unique challenges for preclinical education due to anatomical complexity, limited access to extracted teeth, ethical concerns, and the shortcomings of conventional plastic models. …”
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Agribusiness value-chain risk, fragility and coordination strategies : case studies of South African value chains

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A financial and managerial evaluation of the impacts of adopting radio-frequency identification technology on a conservation agriculture farm in the Swartland by Sinclair, Henry William

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Diagnosis and prognosis of rolling element bearings at low speeds and varying load conditions using higher order statistics and artificial intelligence

“…SVDD belong to the statistical learning theory class which is used here in this work to show the remaining useful life (RUL) of the bearing under study. Although many models have recently been applied with good generalization of results in predicting the RUL of bearings where they integrate the statistics (like the Kaplan-Meier estimator, Mahanalobis distance, principal component analysis (PCA) etc.) and artificial intelligent (AI) methods (e.g. artificial neural network (ANN), feed forward neural network (FFNN), recurrent neural network (RNN) etc.), it has been proven that using only the statistical method is not sufficient to give good predictions, but a hybrid of both methods often yield good results. exTSFRLSA is used on most occasions for tuning, adjusting parameters and for adaptation in the propagation model by comparing predicted and measured defect sizes as in, hence the instantaneous rate of defect propagation of the bearing can be captured despite defect growth behavior variation.…”
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Integrating climate and satellite remote sensing to assess the reaction of Vitis vinifera L. cv. Cabernet Sauvignon to a changing environment by Southey, T. O

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Pervasive computing reference architecture from a software engineering perspective (PervCompRA-SE) by Khaled, Osama Mabrouk

“…Pervasive computing (PervComp) is one of the most challenging research topics nowadays. Its complexity exceeds the outdated main frame and client-server computation models. …”
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Investigation of the N-terminal interactions of cardiac myosin-binding protein C (cMyBPC) under defined phosphorylation states by Ramburan, A.

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Decision support for the operational planning phase of the transit network planning problem by Steenkamp, Pieter Jacobus

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Over Growth: a metabolic densification of Cape Town by Saczek, Ted

“…This paradigm suggests that new, complex approaches to city growth need to be considered to avoid impending disasters. …”
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A novel maximal-length sequence synchronisation network by Davidson, Allan Mark

“…The characteristics of Spread Spectrum systems are determined by the spreading waveform. …”
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Multimodal one-shot learning of speech and images by Eloff, Ryan

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Horizontal gene transfer in eukaryotes, with special focus on the nematode Deladenus siricidicola

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A study of the impact of a development programme for teachers of mathematics and physical science in rural secondary schools in South Africa

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