A Deep Learning-Based Study for Cyclone Track Forecasting: Comparative Analysis Using Historical Data from the Bay of Bengal

التفاصيل البيبلوغرافية
العنوان: A Deep Learning-Based Study for Cyclone Track Forecasting: Comparative Analysis Using Historical Data from the Bay of Bengal
المؤلفون: Majid, Rafi, Hasan, Akmam, Mostarin, Shayrey, Alam, Kazi Rabiul, Rahman, Rashedur M.
المصدر: Studies in Computational Intelligence ; Networking and Parallel/Distributed Computing Systems ; page 1-15 ; ISSN 1860-949X 1860-9503 ; ISBN 9783031532733 9783031532740
بيانات النشر: Springer Nature Switzerland
سنة النشر: 2024
نوع الوثيقة: book part
اللغة: English
ردمك: 978-3-031-53273-3
978-3-031-53274-0
3-031-53273-2
3-031-53274-0
DOI: 10.1007/978-3-031-53274-0_1
الاتاحة: http://dx.doi.org/10.1007/978-3-031-53274-0_1
https://link.springer.com/content/pdf/10.1007/978-3-031-53274-0_1
Rights: https://www.springernature.com/gp/researchers/text-and-data-mining ; https://www.springernature.com/gp/researchers/text-and-data-mining
رقم الانضمام: edsbas.96CD0EFA
قاعدة البيانات: BASE
الوصف
ردمك:9783031532733
9783031532740
3031532732
3031532740
DOI:10.1007/978-3-031-53274-0_1