Sequential decision-making in online learning engagement among Chinese EFL learners: a reinforcement learning approach

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Wavelet Network: Online Sequential Extreme Learning Machine for Nonlinear Dynamic Systems Identification

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A Multi‐Layer Convolutional Sparse Network for Pattern Classification Based on Sequential Dictionary Learning

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Design and implementation of an e-commerce sequential recommender system based on BERT4Rec and user session enhancement

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Sequential land cover classification

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: a deep learning and XAI model to understand local, global, and sequential features of MRI images for improved brain tumour detection

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The perceived well-being of undergraduate students in an open and distance learning context

Subjects: “…Distance learning…”
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A generic approach to the automated startup and shutdown of processing units using sequential function charts

Subjects: “…Sequential function charts…”
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Sequential nonparametric estimation via Hermite series estimators by Stephanou, Michael Jared

“…In the univariate context we apply Hermite series based distribution function estimators to sequential cumulative distribution function estimation. …”
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Derating NichePSO

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Experiences of learners when a computer simulation is used to aid teaching the photoelectric effect

Subjects: “…Experiential learning…”
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Experiences of learners when a computer simulation is used to aid teaching the photoelectric effect

Subjects: “…Experiential learning…”
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A sequential explanatory mixed methods investigation of e-government outcomes evaluation practice in developing countries: South Africa as context by Boamah-Abu, Charles

“…While there may be some degree of use (e.g., learning, i.e., conceptual) recommendations may not be implemented. …”
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Incremental reinforcement learning for portfolio optimisation by Refiloe, Shabe

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Modern gradient boosting by Zackey, Matthew David

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Application of machine learning with electroencephalography in seizure detection. by Volschenk, Andre Daniel

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Analysis of Machine Learning Algorithms for Time Series Prediction by Naidoo, Kimendree

“…This research investigates and evaluates machine learning algorithms that can be used for time series prediction. …”
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Automated Machine Learning for Predicting Trends in Time Series Data by Kouassi, Kouame

“…A recent Automated Machine Learning (AutoML) namely the hybrid Bayesian optimisation and hyperband (BOHB) framework is implemented and evaluated for ASHO. …”
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A resilience perspective of learning mathematics in a disadvantaged environment

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Effecting organisation change in Eskom by creating a learning environment

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