Wiskundekurrikulumontwikkeling vir die senior sekondere fase

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The Development of a Reduced Order Model for Prediction of Haemodynamic and Biochemical Changes in a Computational Cerebral Aneurysm Thrombosis Model by Ngwenya, Tinashe

“…The CFD results were used to build reduced-order models using machine learning algorithms. Multiple polynomial regression and logistic regression machine learning algorithms were used to predict clot size in patients. …”
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The counter test : assessment in a multi-cultural context by May, Michelle S

“…This indicates that "actual" competence can be assessed through more appropriate assessment procedures. Implications for assessment in a multi-cultural context are considered.…”
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Competency maturing: a substantive theory of how senior information systems undergraduates develop their existing competencies and acquire additional competencies within an organic... by Ogundipe, Tejumade V

“…The thesis's findings suggest that creating an organic learning environment can be a useful approach to developing more competent IS graduates.…”
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Linkages between emotional intelligence and coping strategies in mastering new educational technologies

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

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Bayesian Neural Networks for Actuarial Mortality Modelling by Moehrke, Patrick Gary

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Genetic Programming Approach for Nonstationary Data Analytics

Subjects: “…Machine learning…”
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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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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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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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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

“…Reinforcement learning (RL) is a model-free optimization approach that can learn solar PV behaviour and store and reuse optimization information for future optimization tasks. …”
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Modelling uncertainty of cost and time in infrastructure projects by Moghayedi, Alireza

“…The developed hybrid tool models the main structures from the activity level to the entire highway project. …”
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Protection-based Distributed Generation Penetration Limits on MV feeders - Using Machine Learning by Nxumalo, Emmanuel

“…Also, modifying the model by adding upstream and downstream network features as inputs in the classification model to solve the high bias problem is recommended.…”
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Students' experiences of community engagement in an educational psychology practicum

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