Corrigendum to “Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data”

IF 7.1 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Building and Environment Pub Date : 2024-10-30 DOI:10.1016/j.buildenv.2024.112220

SangYoun Kim , Shahzeb Tariq , Roberto Chang , Usama Ali , Abdulrahman H. Ba-Alawi , SungKu Heo , ChangKyoo Yoo

引用次数: 0

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地铁站可解释人工智能驱动的高保真室内空气质量预测（HiFi-IAQ）模型》的更正：利用地理数据进行时空室外空气质量插值"

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

Building and Environment 工程技术-工程：环境

CiteScore

12.50

自引率

23.00%

发文量

1130

审稿时长

27 days

期刊介绍： Building and Environment, an international journal, is dedicated to publishing original research papers, comprehensive review articles, editorials, and short communications in the fields of building science, urban physics, and human interaction with the indoor and outdoor built environment. The journal emphasizes innovative technologies and knowledge verified through measurement and analysis. It covers environmental performance across various spatial scales, from cities and communities to buildings and systems, fostering collaborative, multi-disciplinary research with broader significance.