Interpretable semi-supervised clustering enables universal detection and intensity assessment of diverse aviation hazardous winds

Gao, Hang; Shen, Chun; Wang, Xuesong; Chan, Pak-Wai; Hon, Kai-Kwong; Li, Jianbing

doi:10.1038/s41467-024-51597-y

Nat Commun

2024

DOI: 10.1038/s41467-024-51597-y

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Interpretable semi-supervised clustering enables universal detection and intensity assessment of diverse aviation hazardous winds

Hang Gao,

Chun Shen,

Xuesong Wang

et al.

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Interpretable semi-supervised clustering enables universal detection and intensity assessment of diverse aviation hazardous winds

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References 37 publications

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