Optimised geospatial model for renewable resource allocation to minimise dependence on costly ancillary services by Oosthuizen, Theunis

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The effectiveness of particle dampers under centrifugal loads by Els, Daniel Nicolaas Johannes

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A walk-forward multi-factor machine learning investment process. by Wessels, Zander

Subjects: “…Investments -- Mathematical models…”
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The modification, elaboration and empirical evaluation of the De Goede learning potential structural model through the incorporation of non-cognitive learning competency potential latent variables by Du Toit, Berne

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Load scheduling with cogeneration and real time pricing

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Clustering of longitudinal viral loads in the Western Cape by Arua, Eke Nnanna

“…Introduction: Routine viral load (VL) monitoring is important for assessing the effectiveness of ART in South Africa. …”
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A study of fairness in machine learning in the presence of missing values by Bhatti, Aeysha Aziz

Subjects: “…Machine learning -- Mathematical models…”
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Explaining neural networks used for modeling credit risk by Mohamed, Zhunaid

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A smart vision system for early driver drowsiness detection using CNN–transformer hybrid model with attention-based learning

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A framework for sustainable slum development based on zero waste concept: "Learn to Earn Model" by Elgizawy, Sally Maher

“…Teaching them new skills through the "Learn to Earn Model'', will help them generate income which turns the slum into a catalyst for the economy rather than a burden on it. …”
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Modeling Inflation Transmission Among Construction Materials and Predicting Future Prices Using Machine Learning by Abdelghany, Ranim M

“…The goal of this research is to investigate the dynamics of inflation transmission between construction materials and utilize the findings to develop and test a data-driven machine learning model for forecasting future costs of key materials. …”
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Implementing a problem-based learning model in the training of teachers for an outcomes-based technology curriculum

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A model-based deep learning approach to spectrum management in distributed cognitive radio networks

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Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution

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LSTM-Based Hybrid Deep Learning Models for Visibility Prediction: A Data-Driven Approach

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PIXAL: a physics-inspired explainable machine learning architecture for Greenland ice albedo modeling

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Comparing Machine Learning Models for Pupillary Light Reflex–Based Autism Spectrum Disorder Classification

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Towards autonomous production control: a reinforcement learning-based model for hybrid remanufacturing systems

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Modeling the Impact of Perceived Security and Privacy on Student Adoption of Mobile Learning Applications Beyond Functionality

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Deep learning model for genotype prediction from echocardiographic videos in non-ischaemic dilated cardiomyopathy

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