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    Deep Learning–Based Method for Efficient Airfoil Rime Icing Prediction

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    JAEEEZ.ASENG-6214.pdf (2.323Mb)
    Date
    2025
    Author
    Xu, Zhao-Ke
    Dai, Hao
    Zhang, Hai-Jun
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    Abstract
    AbstractThe input feature parameters of current machine learning and deep learning–based wing icing prediction models primarily consist of flight states and atmospheric conditions, and the output data are ice shapes. This dependency necessitates many ...
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4314137
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