Advanced hybrid CNN-Bi-LSTM model augmented with GA and FFO for enhanced cyclone intensity forecasting

Author:

Alijoyo Franciskus Antonius,Gongada Taviti Naidu,Kaur ChamandeepORCID,Mageswari N.,Sekhar J.C.,Ramesh Janjhyam Venkata Naga,El-Ebiary Yousef A.Baker,Ulmas ZoirovORCID

Publisher

Elsevier BV

Reference41 articles.

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2. Bridging the gap: enhancing storm surge prediction and decision support with bidirectional attention-based LSTM;Ian;Atmosphere,2023

3. An intelligent optimized cyclone intensity prediction framework using satellite images;Reddy;Earth Sci. Inform.,2023

4. V. Singh, Systematic scientific strategies associated with mitigating the challenges in predicting track and intensity of cyclones across the world basins, in: Review, preprint,2022. doi: 10.21203/rs.3.rs-1853424/v2.

5. Characteristics and predictive modeling of short-term impacts of hurricanes on the US employment;Zhang;arXiv,2023

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