METR-LA

Name: METR-LA
Creator: Bao, Tianshu
Published: 2025-02-05T00:00:00+08:00

Figshare2025-02-05 更新2026-04-08 收录

流量预测

不确定性量化

数据链接：

https://figshare.com/articles/dataset/METR-LA/28347830/1 数据链接链接失效反馈

官方服务：

资源简介：

Traffic datasets for ICCPS "Uncertainty Quantification for Physics-Informed Traffic Graph Networks"

提供机构：

Bao, Tianshu

创建时间：

2025-02-05

Research Data related to the surrogate model building of the FDTD computation

电磁仿真

不确定性量化

The research data related to the paper "A general framework for building surrogate models for uncertainty quantification in computational electromagnetics"

NIAID Data Ecosystem70

Campaigns of Uncertainty Quantification

不确定性量化

血流模拟

This item contains the campaigns of the uncertainty quantification described in the paper titled "Uncertainty Quantification of the Impact of Peripheral Arterial Disease on Abdominal Aortic Aneurysms

DataCite Commons2024-04-13 更新50

Uncertainty quantification in cerebral circulation simulations focusing on the collateral flow: Surrogate model approach with machine learning

脑循环模拟

不确定性量化

Data and code underlying the findings reported in the paper titled "Uncertainty quantification in cerebral circulation simulations focusing on the collateral flow: Surrogate model approach with machin

Zenodo2022-05-25 更新00

Modelled AADT data files for Sheehan et al. 2026 'Development and evaluation of statistical models for international-scale road traffic flow estimation' DOI: https://doi.org/10.1016/j.envint.2026.110231

流量预测

森林道路网络建模

This folder contains the modelled Annual Average Daily Traffic (AADT) estimates for all study areas included in the research article: Annalisa Sheehan, Calvin Jephcote, John Gulliver, 2026, Developm

Zenodo2026-05-05 更新60

Calibrated Uncertainty Metrics (95% Prediction Intervals).

不确定性量化

预测区间校准

Calibrated Uncertainty Metrics (95% Prediction Intervals).

Figshare2026-03-23 更新10