Regularized ensemble learning for prediction and risk factors assessment of students at risk in the post-COVID era
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-66894-1
Abstract: The COVID-19 pandemic has had a significant impact on students’ academic performance. The effects of the pandemic have varied among students, but some general trends have emerged. One of the primary challenges for students during… read more here.
Keywords: students risk; regularized ensemble; ensemble learning; performance ... See more keywords
Regularized ensemble Kalman inversion for robust and efficient gravity data modeling to identify mineral and ore deposits.
Sign Up to like & getrecommendations! Published in 2025 at "Scientific reports"
DOI: 10.1038/s41598-025-30141-y
Abstract: Modeling mineral and ore bodies from gravity anomalies remains challenging in geophysical exploration due to the ill-posed and non-unique nature of the inverse problem, particularly under conditions of noisy or sparse data. Established inversion methods,… read more here.
Keywords: regularized ensemble; gravity; ensemble kalman; inversion ... See more keywords
$\mathrm{E}^{2}\text{AG}$: Entropy-Regularized Ensemble Adaptive Graph for Industrial Soft Sensor Modeling
Sign Up to like & getrecommendations! Published in 2025 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2024.124884
Abstract: Adaptive graph neural networks (AGNNs) have achieved remarkable success in industrial process soft sensing by incorporating explicit features that delineate the relationships between process variables. This article introduces a novel GNN framework, termed entropy-regularized ensemble… read more here.
Keywords: adaptive graph; regularized ensemble; mathbf; entropy regularized ... See more keywords