دورية أكاديمية

Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling

التفاصيل البيبلوغرافية
العنوان: Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling
المؤلفون: Ishida, Kei, Kiyama, Masato, Nagasato, Takeyoshi, Ercan, Ali, Amagasaki, Motoki
سنة النشر: 2024
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: 8ada504c-4df6-475b-8132-ebb61d4c4516; https://avesis.metu.edu.tr/publication/details/8ada504c-4df6-475b-8132-ebb61d4c4516/oaiTest
DOI: 10.1016/j.jenvman.2024.120931
الإتاحة: https://doi.org/10.1016/j.jenvman.2024.120931Test
https://avesis.metu.edu.tr/publication/details/8ada504c-4df6-475b-8132-ebb61d4c4516/oaiTest
حقوق: info:eu-repo/semantics/closedAccess
رقم الانضمام: edsbas.83CDEE4B
قاعدة البيانات: BASE