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"

IF 7.1 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY
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引用次数: 0

摘要

本文章由计算机程序翻译,如有差异,请以英文原文为准。
Corrigendum to “Explainable AI-driven high-fidelity IAQ prediction (HiFi-IAQ) model for subway stations: Spatiotemporal outdoor air quality interpolation using geographic data”
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来源期刊
Building and Environment
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.
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