A Conceptual Approach to Predicting Seismic Events and Flood Risks Using Convolutional Neural Networks

This paper explores the application of convolutional neural networks (CNNs) in predictive modelling for seismic events and flood risks, with a particular focus on forecasting extreme quantile events that exceed historical data limits. Traditional risk assessment methods often struggle to estimate su...

Full description

Bibliographic Details

Published in:	Journal of Informatics and Web Engineering
Main Authors:	Mahmoud Rehan, Wan-Noorshahida Mohd-Isa, Noramiza Hashim
Format:	Article
Language:	English
Published:	MMU Press 2025-06-01
Subjects:	disaster preparedness risk management mitigation convolutional neural networks natural disaster artificial intelligence machine learning
Online Access:	https://journals.mmupress.com/index.php/jiwe/article/view/1501