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Predicting Hydrological Drought Alert Levels Using Supervised Machine-Learning Classifiers

Crossref DOI link: https://doi.org/10.1007/s12205-022-1367-8

Published Print: 2022-06

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Jehanzaib, Muhammad https://orcid.org/0000-0002-5556-3738
Shah, Sabab Ali https://orcid.org/0000-0001-5721-7997
Son, Ho Jun

Jang, Sung-Hwan https://orcid.org/0000-0001-7033-8136
Kim, Tae-Woong https://orcid.org/0000-0002-1793-2483
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Text and Data Mining valid from 2022-06-01

Text and Data Mining valid from 2022-06-01

Version of Record valid from 2024-08-13
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This article is maintained by: Elsevier

Article Title: Predicting Hydrological Drought Alert Levels Using Supervised Machine-Learning Classifiers

Journal Title: KSCE Journal of Civil Engineering

CrossRef DOI link to publisher maintained version: https://doi.org/10.1007/s12205-022-1367-8

Content Type: article

Copyright: Copyright © 2022 © Korean Society of Civil Engineers 2022 published by Elsevier inc. Published by Elsevier Inc.