Deep neural network-based prediction of tsunami wave attenuation by mangrove forests-Reference-Cited by-同舟云学术

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

Published:2024-12 Issue: Volume:13 Page:102791
ISSN:2215-0161
Container-title:MethodsX
language:en
Short-container-title:MethodsX

Author:

Adytia Didit^ORCID,Tarwidi Dede,Saepudin Deni,Husrin Semeidi,Kasim Abdul Rahman Mohd,Romlie Mohd Fakhizan,Samsudin Dafrizal

Funder

Universitas Telkom

Publisher

Elsevier BV

Reference22 articles.

1. Predicting Tsunami-like solitary wave run-up over fringing reefs using the multi-layer perceptron neural network;Yao;Nat. Hazards,2021

2. Dissipation of solitary wave due to mangrove forest: a numerical study by using non-dispersive wave model;Adytia;ILMU Kelaut. Indones. J. Mar. Sci.,2019

3. Neural Network modelling on wave dissipation due to mangrove forest;Malvin,2020

4. Prediction of solitary wave attenuation by emergent vegetation using genetic programming and artificial neural networks;Gong;Ocean Eng,2021

5. Effects of wave steepness and relative water depth on wave attenuation by emergent vegetation;Wu;Estuar. Coast. Shelf Sci.,2015

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