Deep neural network-based prediction of tsunami wave attenuation by mangrove forests

Deep neural network-based prediction of tsunami wave attenuation by mangrove forests

The goal of this research is to develop a model employing deep neural networks (DNNs) to predict the effectiveness of mangrove forests in attenuating the impact of tsunami waves. The dataset for the DNN model is obtained by simulating tsunami wave attenuation using the Boussinesq model with a stagge...

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Bibliographic Details
Main Authors: Adytia, Didit, Tarwidi, Dede, Saepudin, Deni, Husrin, Semeidi, Abdul Rahman, Mohd Kasim, Mohd Fakhizan, Romlie, Samsudin, Dafrizal
Format: Article
Language:English
Published: Elsevier B.V. 2024
Subjects:
Q Science (General)
QA Mathematics
Online Access:http://umpir.ump.edu.my/id/eprint/44007/
http://umpir.ump.edu.my/id/eprint/44007/1/Deep%20neural%20network-based%20prediction%20of%20tsunami%20wave%20attenuation.pdf

Internet

http://umpir.ump.edu.my/id/eprint/44007/
http://umpir.ump.edu.my/id/eprint/44007/1/Deep%20neural%20network-based%20prediction%20of%20tsunami%20wave%20attenuation.pdf

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