人工智能救援：如何利用技术工具加强灾害预警

IF 3.7 2区化学 Q2 CHEMISTRY, MULTIDISCIPLINARY

Langmuir Pub Date : 2024-10-01 DOI:10.1038/d41586-024-03149-z

Monique M. Kuglitsch, Jon Cox, Jürg Luterbacher, Bilel Jamoussi, Elena Xoplaki, Muralee Thummarukudy, Golestan Sally Radwan, Soichiro Yasukawa, Shanna N. McClain, Rustem Arif Albayrak, David Oehmen, Thomas Ward

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引用次数: 0

摘要

人工智能有助于减少自然灾害的影响，但需要强有力的国际标准来确保最佳做法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

AI to the rescue: how to enhance disaster early warnings with tech tools

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AI to the rescue: how to enhance disaster early warnings with tech tools

Artificial intelligence can help to reduce the impacts of natural hazards, but robust international standards are needed to ensure best practice. Artificial intelligence can help to reduce the impacts of natural hazards, but robust international standards are needed to ensure best practice.

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来源期刊

Langmuir 化学-材料科学：综合

CiteScore

6.50

自引率

10.30%

发文量

1464

审稿时长

2.1 months

期刊介绍： Langmuir is an interdisciplinary journal publishing articles in the following subject categories: Colloids: surfactants and self-assembly, dispersions, emulsions, foams Interfaces: adsorption, reactions, films, forces Biological Interfaces: biocolloids, biomolecular and biomimetic materials Materials: nano- and mesostructured materials, polymers, gels, liquid crystals Electrochemistry: interfacial charge transfer, charge transport, electrocatalysis, electrokinetic phenomena, bioelectrochemistry Devices and Applications: sensors, fluidics, patterning, catalysis, photonic crystals However, when high-impact, original work is submitted that does not fit within the above categories, decisions to accept or decline such papers will be based on one criteria: What Would Irving Do? Langmuir ranks #2 in citations out of 136 journals in the category of Physical Chemistry with 113,157 total citations. The journal received an Impact Factor of 4.384*. This journal is also indexed in the categories of Materials Science (ranked #1) and Multidisciplinary Chemistry (ranked #5).