Designing an LSTM-Based Model for Financial Asset Forecasting Using Machine Learning

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Optimisation of deep neural network model using Reptile meta learning approach

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Automated Parking Systems Using Reinforcement Learning Assisted Model Predictive Control

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Evaluating of Machine Learning Models in Predicting COVID-19 Vaccine Uptake in Kenya

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Classification and predictive models using supervised machine learning: A conceptual review

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Cross-dataset benchmarking of machine learning models for marine and atmospheric environmental prediction

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Multimodal data fusion and analysis model for virtual reality education based on artificial intelligence

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A generative agent system-based model for group behavior prediction and dynamic intervention

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

Subjects: “…Machine learning -- Models…”
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Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models

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

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

Subjects: “…pavement management prediction modeling machine learning…”
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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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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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Cluster graph representations of low-density parity-check codes including non-stationary channel noise estimation by Du Toit, Jaco

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Perceptions of lecturers who apply blended learning in a Faculty of Science

Subjects: “…Blended learning…”
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