Air Quality Forecasting Using Big Data and Machine Learning Algorithms

IF 2.2 4区地球科学 Q3 METEOROLOGY & ATMOSPHERIC SCIENCES

Asia-Pacific Journal of Atmospheric Sciences Pub Date : 2023-12-04 DOI:10.1007/s13143-023-00347-z

Youn-Seo Koo, Yunsoo Choi, Chang‐Hoi Ho

引用次数: 0

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利用大数据和机器学习算法进行空气质量预测

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

Asia-Pacific Journal of Atmospheric Sciences 地学-气象与大气科学

CiteScore

5.50

自引率

4.30%

发文量

审稿时长

>12 weeks

期刊介绍： The Asia-Pacific Journal of Atmospheric Sciences (APJAS) is an international journal of the Korean Meteorological Society (KMS), published fully in English. It has started from 2008 by succeeding the KMS'' former journal, the Journal of the Korean Meteorological Society (JKMS), which published a total of 47 volumes as of 2011, in its time-honored tradition since 1965. Since 2008, the APJAS is included in the journal list of Thomson Reuters’ SCIE (Science Citation Index Expanded) and also in SCOPUS, the Elsevier Bibliographic Database, indicating the increased awareness and quality of the journal.