Integrating lecture recording to support flexible learning and responsive pedagogies in a dual mode undergraduate law degree by Prinsloo, Heinrich

Subjects: “…SAMR model…”
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Stratifying antimalarial compounds with similar mode of action using machine learning on chemo-transcriptomic profiles

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Modelling email traffic workloads with RNN and LSTM models

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Model Averaging Is Asymptotically Better Than Model Selection For Prediction

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Model Calibration with Machine Learning by Haussamer, Nicolai Haussamer

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The development of a model for hybrid teaching and learning in institutions of higher learning in nursing

Subjects: “…Model…”
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Research on the analysis platform of the interactive mode of the collaborative learning group combining spatio-temporal graph convolutional network and YOLO real-time detection

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Extracting failure modes from unstructured, natural language text by Malan, Francina

Subjects: “…Machine learning…”
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Reinforcement learning algorithms to model learning and decision-making in individuals with depressive disorders by Niit, Lizelle

“…I start by giving an overview of the reinforcement learning framework, and detail some of the reinforcement learning models that have been used to understand mental illness better. …”
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Agent-based adaptive e-learning model for any learning management system

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A Boolean algebraical model for machine learning by Cloete, I.(Ian)

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A model-driven approach to ensure trust in the IoT

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Cascaded Diffusion Models for High Fidelity Image Generation

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Hierarchical Causal Models

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Exploring the access and influence of Edu TV and radio programs on the learners' self-directed learning among the grade 12 learners enrolled on distance mode at Namibian College of Open Learning (NAMCOL ) by Nenghwanya, Erestine

“…The study was aimed at measuring the influence of these technology services among grade 12 learners enrolled on distance mode at Namibia College of Open Learning (NAMCOL). …”
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A Machine Learning Model for Octane Number Prediction by Spencer, Victor

“…Machine learning models are data driven with primarily regression and deep learning methods being used in literature as prediction models. …”
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Analysing retinal fundus images with deep learning models by Ofosu Mensah, Samuel

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Machine Learning for Modeling in an Elementary Differential Equations Class

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