Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Comparative Analysis of Physics-Guided Bayesian Neural Networks for Uncertainty Quantification in Dynamic Systems
X Xu, J Wang - Forecasting, 2025 - mdpi.com
Uncertainty quantification (UQ) is critical for modeling complex dynamic systems, ensuring
robustness and interpretability. This study extends Physics-Guided Bayesian Neural …
robustness and interpretability. This study extends Physics-Guided Bayesian Neural …
Analyzing the Influential Factors on ICaF Performance in Bayesian Model Calibration and Forecasting
In the previous work, the authors proposed an uncertainty-aware metric called the
information measure of calibration flexibility (ICaF). ICaF addresses the trade-off between …
information measure of calibration flexibility (ICaF). ICaF addresses the trade-off between …