Improving the Predictive Analytics of Machine-Learning Pipelines for Bridge Infrastructure Asset Management Applications: An Upstream Data Workflow to Address Data Quality Issues in the National Bridge Inventory Database

IF 3.1 2区工程技术 Q2 ENGINEERING, CIVIL

Journal of Bridge Engineering Pub Date : 2024-01-01 DOI:10.1061/jbenf2.beeng-6012

Xi Hu, Rayan H. Assaad

引用次数: 0

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提高桥梁基础设施资产管理应用中机器学习管道的预测分析能力：解决国家桥梁库存数据库数据质量问题的上游数据工作流程

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Bridge Engineering 工程技术-工程：土木

CiteScore

6.30

自引率

5.60%

发文量

166

审稿时长

6 months

期刊介绍： The Journal of Bridge Engineering publishes papers about all aspects of the art and science of bridge engineering. The journal publishes research that advances the practice and profession of bridge engineering and papers about issues, projects, materials, design, fabrication, construction, inspection, evaluation, safety, performance, management, retrofitting, rehabilitation, repair, and demolition.