Model-Free Deep Reinforcement Learning Control for Grid-Connected Packed U-Cell Multilevel Inverters

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Modeling and Encouraging Self-Care in Online Teacher Preparation: Lessons Learned During the COVID-19 Pandemic

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AIFS Single 1.1.0: an update to ECMWF's machine-learned weather forecast model AIFS

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A Modified Hybrid Content-Aware Course Recommendation Model for Moodle-Based Learning Management System

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ReHeartNet: Reconstruct Electrocardiogram From Photoplethysmography by Using Dense Connected Deep Learning Model

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Towards Generalisable and Explainable Traffic Signal Control via Deep Reinforcement Learning and Large Language Models

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Enhancing customer engagement in e-commerce: improving e-marketing open rates through model-free reinforcement learning. by Grobler, Abraham

Subjects: “…Reinforcement learning…”
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A hybrid gearbox condition monitoring methodology using transfer learning for calibration

Subjects: “…Gearbox modelling…”
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Evaluation of Physics-informed Neural Network Solution Accuracy and Efficiency for Modelling Aortic Transvalvular Blood Flow. by Du Toit, Jacques Francois

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Interpretation of an artificial neural network as a black box model by Laubscher, Karla

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Multimedia guidelines for vocabulary apps assisting early language learning in children with Autism Spectrum Disorder

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A spatio-temporal framework for modelling informal settlement growth by Cilliers, Pierre

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Evaluating mobile applications that support Mathematics learning in the Further Education and Training Phase

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How South African teachers make sense of language-in-education policies in practice

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Health professional educators’ needs regarding strategies in the implementation of a learning management system

Subjects: “…Learning management system…”
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Cognitive task analysis in task-based syllabus design for the teaching and learning of Kiswahili as a second language in Ugandan secondary schools by Jjingo, Caesar

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Incorporating sensor measurements using data assimilation and machine learning to improve the accuracy of thermal finite element models

Subjects: “…Machine learning…”
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Modelling attrition in the Eastern Cape public health system using multilevel survival analysis and machine learning methods by Perrie, Cailin

“…Unfortunately, all multilevel machine learning models explored failed to converge, resulted in excessive computational time forcing an abort, or simply resulted in poor model performance when evaluated on unseen data. …”
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Improving the generalisabiility of a deep learning model for global forest classification through image normalisation, enhancement and augmentation by Swaine, Michael

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A review of three machine learning models using UAV derived photogrammetry for detecting and measuring tree stumps by Hubbard, Alan John

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