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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Initial attempt: classification of Simmental cattle based on body conformation using machine learning by Schulenburg, Suzette

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

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Insider Threat Discovery Model for Vehicle Tracking

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School-parent collaboration to address children's barriers to learning in a full-service school by Basson, Arno

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Transformative learning : an exploratory analysis of theory and practice in a study and thinking skills programme by Kilpin, Elsa Margaretha

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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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An investigation into the association between qualitatively different perceptions of the learning context and students' approaches to studying by Parsons, Philip

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

“…A high bias problem was observed (cross-validation error was high and training error was high) for the loss of grading classification (relay positions eliminated) model. When the models (horizontal network features) were applied to four MV distribution networks, loss of coordination was not predicted, the loss of grading model had one false positive and the de-sensitization model had one false negative. …”
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Investigating the Relationship between Learning Styles and Delivery Methods in Information Security Awareness Programs by Ntwali, Blaise

“…Additionally, the aligned learning styles and delivery methods' construct was added to the KAB model to investigate the research questions. …”
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Machine Learning techniques to discover and understand the population of flare stars in MeerLICHT data by Bangiso, Aphiwe

“…In this work, we develop generic machine learning models that classify a given transient object from the observed light curve. …”
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Cape Town Airbnb price prediction: an exploration of spatial statistic and machine learning methods by Williams, Courtney

“…By accounting for spatial effects, model predictive performance does improve, but not so much as to outperform non-spatial, non-linear machine learning model predictions. …”
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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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Creating the conditions for entrepreneurial learning within an inclusive and scalable African business education ecosystem by Hosken, Christopher

“…Online and virtual education technologies, pedagogies and methodologies are explored as the core proponents of these learning experiences. Different models are explored and analysed in their distinct contexts to discover what it takes to create these learning experiences. …”
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Interactive learning through open education resources for physical science Grade 11 learners

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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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SOFTWIRE : an interactive, computer-based system for enhancing learning in electrical engineering using simulation by Geerdts, C D

“…It has the ability to facilitate demonstration of basic concepts, learning of estimation, modular system design, and the use of models in engineering, and group work. …”
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