Investigating teaching and learning support for students with hearing impairment at a university in the Western Cape by Bell, Diane

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Modelling of a monostatic borehole radar antenna by Gouws, Marcel

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Dynamic modelling of a stented aortic valve by Van Aswegen, Karl

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Deliberative agent model of a taxi rank by Venter, Jurie Heinrich

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Genetic Programming Approach for Nonstationary Data Analytics

Subjects: “…Machine learning…”
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Constitutive modelling of the skin accounting for chronological ageing by Pond, Damien

“…The constitutive model is implemented within a finite element scheme. …”
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Detecting Electrical Submersible Pump (ESP) Failures and Estimating Run Life Using Artificial Neural Networks by Sobhy, Mostafa Ahmed

Subjects: “…Models…”
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Acceptability of a Social Learning Theory-based parenting programme to South African parents by Wilson, Katherine

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Challenges faced by learning support teachers when teaching English as first additional language

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Kinematic Modeling and Dynamic Aspects of an Accelerating Quadruped by Van Der Leek, Casey

“…The mimicking and transfer of these aspects of a live subject to a modern day robot is limited by the technologies available such as computational resources, materials engineering, mathematical modeling constraints and efficient systems engineering. …”
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Resource Management and Backhaul Routing in Millimeter-Wave IAB Networks Using Deep Reinforcement Learning

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Centrifuge modelling of piled foundations in swelling clays

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Effects of modelling simplifications in FEA of railway wheels by Cuperus, Jacobus Louwrens

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Development, testing and application of a crop nitrogen and phosphorus model to investigate leaching losses at the local scale

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Insider Threat Discovery Model for Vehicle Tracking

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Protection-based Distributed Generation Penetration Limits on MV feeders - Using Machine Learning by Nxumalo, Emmanuel

“…To determine the amount of DG to connect to the network, a detailed analysis is required which often involves the use of a simulation tool such as DIgSILENT to model the entire network and perform load flow studies. …”
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Nonlinear adaptation of established linear and predictive control laws through safe reinforcement learning by Bras, Edward Hendrik

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A Machine Learning Framework for Predicting Fabrication Hours for Industrial Steel Structure Projects by Ibrahim, Dalia

“…The objectives were achieved by employing combinations of six machine learning models and various pre-processing techniques to find the model that best enhances the estimates of the fabrication hours of the collaborating company. …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…To address the SDN scalability issues identified by creating a scalable hybrid switching solution using machine learning algorithms. We propose an SDN OpenFlow model switch which collaborate with the traditional switch to represent a scalable framework of Hybrid Routing with Reinforcement Learning (sHRRL). …”
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Development of scalable hybrid switching-based software-defined networking using reinforcement learning by Blose, Max

“…To address the SDN scalability issues identified by creating a scalable hybrid switching solution using machine learning algorithms. We propose an SDN OpenFlow model switch which collaborate with the traditional switch to represent a scalable framework of Hybrid Routing with Reinforcement Learning (sHRRL). …”
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