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  1. The effect of environmental loading on concrete structures

    Published 2025
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  2. In this work, three models are used to analyze the electric load capacity of a fast growing urban city and to estimate its future consumption....

    Published 2012-01
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  3. Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models

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

    Published 2025
    Subjects: “…Stochastic processes -- Mathematical models…”
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  5. Wildfire path spread prediction system using machine learning: use of ANN, convolutional autoencoder, and ConvLSTM ML model by Makhaba, Limpho Mapulane

    Published 2025
    “…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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  6. Estimation of inverted electrical resistivity and advanced modelling of iron ore using machine learning models based on geophysical array data

    Published in Near Surface Geophysics (2026)
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  7. Cluster graph representations of low-density parity-check codes including non-stationary channel noise estimation by Du Toit, Jaco

    Published 2024
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  8. Seismic resistance of unreinforced load-bearing masonry buildings, retrofitted with a strain-hardening cement-based composite by Kotze, Mariska

    Published 2020
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  9. The implications of Ned Herrmann’s whole-brain model for violin teaching : a case study by Campbell, Velma-Jean

    Published 2008
    Subjects: “…Learning style models…”
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  10. Building a Model for stock exchange growth in Africa: Learnings from the BRICS exchanges

    Published 2014
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  11. Developing a model for teaching and learning clinical pharmacy components of the pharmacy curriculum in Nigeria

    Published 2017-01
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  12. Modelling highly imbalanced credit card fraud detection data using statistical learning by Moodley, Revesa

    Published 2024
    “…The best supervised learning models are RF and XGBoost. The tree models were generally well suited to the imbalanced dataset, whilst LR performed the worst, even when applying regularisation. …”
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  13. Enhancement of digital elevation models using tree-based ensemble machine learning algorithms by Okolie, Chukwuma

    Published 2024
    “…Thus, global digital elevation models (DEMs) have gained worldwide prominence due to their free availability; a prime advantage when compared to prohibitively expensive airborne topographic surveys. …”
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  14. Towards an interactive mobile lecturing model a higher-level engagement for enhancing learning by Boyinbode, Olutayo Kehinde

    Published 2014
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  15. Weather forecasting using deep learning and seasonal autoregressive integrated moving average model

    Published 2024-04
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  16. TEAM TEACHING MODELS AND PRIMARY SCHOOL PUPILS’ LEARNING OUTCOMES IN MATHEMATICS IN OYO, NIGERIA

    Published 2019-08
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