Model-based decision support for subjective preference blending by Kellermann, Thomas Johannes

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The perceived motivational impact of voice-over-powerpoint™ on part-time adult learners' in a distance learning environment

Subjects: “…ARCS Model…”
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An activity-based workload modelling approach for determining diagnostic radiographer staffing requirements within a diagnostic radiology practice. by Cloete, Cosmo

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Short-term stream flow forecasting and downstream gap infilling using machine learning techniques by Steyn, Melise

Subjects: “…Machine learning -- Models…”
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Analysis of the rolling motion of loaded hoops by Theron, Willem F. D.

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The response of impulsively loaded sandwich plates by Farrow, Gary Herbert

“…The explicit integration scheme is considered the best finite element solution method to use for this dynamic response problem. The pressure loading model is found to give the best correlation with experimental data while velocity loading models tend to result in instabilities in the explicit solution scheme. …”
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The effect of environmental loading on concrete structures

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Countermeasure Allocation and Load-Out Optimisation

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Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models

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Research on diffusion model image data completion technology for 3D reconstruction of cultural heritage

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Machine learning methods for large deviations by Cloete, Daniël Willem Hendrik

Subjects: “…Stochastic processes -- Mathematical models…”
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Prediction of Distresses in Pavement Networks: A Machine Learning Approach by Kotb, Mahmoud

Subjects: “…pavement management prediction modeling machine learning…”
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Factors to consider in the transition from a teacher-centred model to a learner-centred model in a computer-rich learning environment

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Wildfire path spread prediction system using machine learning: use of ANN, convolutional autoencoder, and ConvLSTM ML model by Makhaba, Limpho Mapulane

“…This research performs a comprehensive investigation into the use of supervised classification Machine Learning(ML) models, specifically, Artificial Neural Networks(ANN), Convolutional Autoencoder, and Convolution Long Short-Term Memory(convLSTM), in predicting wildfire spread. …”
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Estimation of inverted electrical resistivity and advanced modelling of iron ore using machine learning models based on geophysical array data

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Seismic resistance of unreinforced load-bearing masonry buildings, retrofitted with a strain-hardening cement-based composite by Kotze, Mariska

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Optimizing Load Balancing in Cloud-Based Healthcare Systems: Leveraging Linear Programming, Metaheuristics, and Queuing Models to Minimize Latency and Maximize Throughput

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Optimizing Load Balancing in Cloud-Based Healthcare Systems: Leveraging Linear Programming, Metaheuristics, and Queuing Models to Minimize Latency and Maximize Throughput

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The implications of Ned Herrmann’s whole-brain model for violin teaching : a case study by Campbell, Velma-Jean

Subjects: “…Learning style models…”
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