Conceptual foundations for understanding and characterising adult learning systems: towards more comprehensive comparative reporting

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Modelling email traffic workloads with RNN and LSTM models

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Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent

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Towards a More Resilient Condition Assessment of Road Infrastructure using Machine Learning and Satellite Imagery by Eldesouky, Nour Eldin Mohamed

“…These findings suggest that open-access satellite imagery combined with smartphone collected IRI measurements can deliver performance comparable to studies using commercial high-resolution satellite Imagery more accurate IRI measurements. Moreover, the study recommends that binary models can be utilized as a practical decision-support tool while pursuing future enhancements through higher-resolution satellite imagery, expanded and more variable datasets, and more advanced hybrid deep learning architectures.…”
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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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An ethnographic investigation into the development and trialing of more accessible text materials for second language teaching and learning in physical science by Clark, Jonathan, Clark, Jonathan

“…That many students fail to develop adequate reading strategies is identified as lying at the heart of many learning problems. It is suggested that the key to comprehension is instruction from a base of more accessible text materials. …”
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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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Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent

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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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What more can Software Development learn from Agile Manufacturing? Some pointers on the 20th anniversary of the Agile Manifesto

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

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Hierarchical Causal Models

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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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“It takes more than brown paint to portray a realistic African American character”: Lessons Learned about Teaching Multicultural Literature

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A Machine Learning Model for Octane Number Prediction by Spencer, Victor

“…The recommendation for this study is to train the models with a more representative data set in future and to use a hybrid model which comprises of a phenomeno-logical model and a machine learning model for best results and to reduce the bias of the model in the regions with few data points. …”
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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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