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...

Full description

Saved in:
Bibliographic Details
Main Authors: Adytia, Didit, Tarwidi, Dede, Saepudin, Deni, Husrin, Semeidi, Abdul Rahman, Mohd Kasim, Mohd Fakhizan, Romlie, Samsudin, Dafrizal
Format: Article
Language:en
Published: Elsevier B.V. 2024
Subjects:
Q Science (General)
QA Mathematics
Online Access:http://umpir.ump.edu.my/id/eprint/44007/1/Deep%20neural%20network-based%20prediction%20of%20tsunami%20wave%20attenuation.pdf
http://umpir.ump.edu.my/id/eprint/44007/
https://doi.org/10.1016/j.mex.2024.102791
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://umpir.ump.edu.my/id/eprint/44007/1/Deep%20neural%20network-based%20prediction%20of%20tsunami%20wave%20attenuation.pdf
http://umpir.ump.edu.my/id/eprint/44007/
https://doi.org/10.1016/j.mex.2024.102791

Similar Items