{"title":"Air Quality Forecasting Using Big Data and Machine Learning Algorithms","authors":"Youn-Seo Koo, Yunsoo Choi, Chang‐Hoi Ho","doi":"10.1007/s13143-023-00347-z","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":8556,"journal":{"name":"Asia-Pacific Journal of Atmospheric Sciences","volume":"59 5","pages":"529 - 530"},"PeriodicalIF":2.2000,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia-Pacific Journal of Atmospheric Sciences","FirstCategoryId":"89","ListUrlMain":"https://link.springer.com/article/10.1007/s13143-023-00347-z","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"METEOROLOGY & ATMOSPHERIC SCIENCES","Score":null,"Total":0}
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.
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