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1 Ergebnisse
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Short-term prediction of tropical cyclone track and intensi..:
Gan, S.L.
;
Fu, J.Y.
;
Zhao, G.F.
..
Journal of Wind Engineering and Industrial Aerodynamics. 244 (2024) - p. 105633 , 2024
Link:
https://doi.org/10.1016/j.jweia.2023.105633
RT Journal T1 <Title>Short-term prediction of tropical cyclone track and intensity via four mainstream deep learning techniques</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.jweia.2023.105633&Exemplar=1&LAN=DE A1 Gan, S.L. A1 Fu, J.Y. A1 Zhao, G.F. A1 Chan, P.W. A1 He, Y.C. PB Elsevier BV YR 2024 SN 0167-6105 JF Journal of Wind Engineering and Industrial Aerodynamics VO 244 SP 105633 LK http://dx.doi.org/https://doi.org/10.1016/j.jweia.2023.105633 DO https://doi.org/10.1016/j.jweia.2023.105633 SF ELIB - SuUB Bremen
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