Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities
J Jia, W Ye - Remote Sensing, 2023 - mdpi.com
Earthquake Disaster Assessment (EDA) plays a critical role in earthquake disaster
prevention, evacuation, and rescue efforts. Deep learning (DL), which boasts advantages in …
prevention, evacuation, and rescue efforts. Deep learning (DL), which boasts advantages in …
Regional seismic response assessment using indicator buildings
This paper introduces a framework to estimate the seismic response of buildings at a
regional scale by using representative indicator buildings. A robust database of buildings is …
regional scale by using representative indicator buildings. A robust database of buildings is …
Prediction of local site influence on seismic vulnerability using machine learning: A study of the 6 February 2023 Türkiye earthquakes
This study uses machine learning to analyze local seismic features' influence on damage
from the 6 February 2023 Türkiye Earthquakes. The input features include Vs 30 (the …
from the 6 February 2023 Türkiye Earthquakes. The input features include Vs 30 (the …
Application of a Deep Learning Method to the Seismic Vulnerability Analysis of Cross-Fault Hydraulic Tunnels Based on MLE-IDA
W Cao, B Sun, P Wang - Applied Sciences, 2023 - mdpi.com
Rapidly developed deep learning methods, widely used in various fields of civil engineering,
have provided an efficient option to reduce the computational costs and improve the …
have provided an efficient option to reduce the computational costs and improve the …
Advanced Seismic Data Analysis: Comparative study of Machine Learning and Deep Learning for Data Prediction and Understanding
G Airlangga - Brilliance: Research of Artificial Intelligence, 2023 - jurnal.itscience.org
This study delves into the application of machine learning (ML) and deep learning (DL)
techniques for the analysis of seismic data, aiming to identify and categorize patterns and …
techniques for the analysis of seismic data, aiming to identify and categorize patterns and …
Building Clustering and Indicator Building Selection for Regional Seismic Vulnerability Assessment
AG Ghasemi - 2024 - researchspace.auckland.ac.nz
The fundamental objective of this thesis is to introduce a novel framework that can be used
to estimate the response of buildings at a regional scale for both vulnerability …
to estimate the response of buildings at a regional scale for both vulnerability …