Creating Interpretable Data-Driven Approaches for Tropical Cyclones Forecasting
Author(s) -
Fan Meng
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i11.21583
Subject(s) - tropical cyclone , bottleneck , computer science , tropical cyclone forecast model , meteorology , artificial intelligence , machine learning , data science , geography , embedded system
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