Forecasting fierce floods with transferable AI in data-scarce regions

IF 33.2 1区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

The Innovation Pub Date : 2024-05-29 DOI:10.1016/j.xinn.2024.100652

Hui-Min Wang, Xiao Peng, Xiaogang He

引用次数: 0

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在数据稀缺地区利用可转移的人工智能预测凶猛洪水

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

The Innovation MULTIDISCIPLINARY SCIENCES-

CiteScore

38.30

自引率

1.20%

发文量

134

审稿时长

6 weeks

期刊介绍： The Innovation is an interdisciplinary journal that aims to promote scientific application. It publishes cutting-edge research and high-quality reviews in various scientific disciplines, including physics, chemistry, materials, nanotechnology, biology, translational medicine, geoscience, and engineering. The journal adheres to the peer review and publishing standards of Cell Press journals. The Innovation is committed to serving scientists and the public. It aims to publish significant advances promptly and provides a transparent exchange platform. The journal also strives to efficiently promote the translation from scientific discovery to technological achievements and rapidly disseminate scientific findings worldwide. Indexed in the following databases, The Innovation has visibility in Scopus, Directory of Open Access Journals (DOAJ), Web of Science, Emerging Sources Citation Index (ESCI), PubMed Central, Compendex (previously Ei index), INSPEC, and CABI A&I.