Neurocontroller development for nonlinear processes utilising evolutionary reinforcement learning by Conradie, Alex van Eck

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Reinforcement learning microservices scheduler in intelligent edge computing

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An FPGA implementation of an investigative many-core processor, Fynbos : in support of a Fortran autoparallelising software pipeline by Wyngaard, Janet Ruth

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Optimising vehicle velocity profiles in real-time

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Queering final fantasy xiv online avatars on Instagram

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Dynamic clearance modelling of steam turbines by Ross, Michael Anthony Jared

“…This study demonstrated that the development of such a modelling methodology was possible and yielded results with were accurate and insightful in understanding turbine component responses which are otherwise impossible to measure during real-world operation.…”
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Energy efficient communication models in wireless sensor and actor networks

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Social Engineering Attack Detection Model

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Narrative techniques in the novels of Iris Murdoch by Sulcas, Roslyn Lee

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Tree species identification and leaf segmentation from natural images using deep semi-supervised learning by Homan, Dewald

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Lineere programmering op skoolvlak by Groenewald, Marlien

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Strategic supply chain management using simulation

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Enhancing users’ experience of a learning management system within higher education: chatbot design principles for service providers

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The development of a policy framework for integrating smart asset management within operating theatres in a private healthcare group to mitigate critical system failure by Nel, Charles Benjamin Hirschowitz

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Towards coherent practice in capstone courses for IS majors by Scott, Elsje

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Concept demonstrator: Holding site location, ambulance allocation, and relocation decision support tool by Oosthuizen, Anna Cornelia

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'n Kommunikasiestrategie vir die Nasionale Departement van Landbou ter ondersteuning van kleinboerontwikkeling by Viljoen, Hendrik Christophel

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Operational scheduling and investigative planning for electric public transport in South Africa by Wüst, Jacques

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Radar intra-pulse modulation classification using convolutional neural networks by Swart, Jean

“…This dissertation aims to address the increasing difficulty of pulse classification through the use of modern machine learning techniques - more specifically, by utilising convolutional neural networks. A wide range of modulation schemes was considered and simulated with realistic imperfections to create a dataset that was as representative of real-world scenarios as possible. …”
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Encore - performing arts centre

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