Strengthening Climate Resilience: Urban Water Technologies for Heat-Resilient Physical Infrastructure in Southeast Asia Cities Amidst Extreme Temperature Events …

TA Kurniawan, KC Goh, HH Goh, D Zhang… - ACS ES&T …, 2024 - ACS Publications
In the face of escalating climate change impacts, Southeast Asia is witnessing a growing
urgency to fortify regional cities against extreme temperatures and the exacerbating effects …

Mapping post-earthquake landslide susceptibility using U-Net, VGG-16, VGG-19, and metaheuristic algorithms

M Shafapourtehrany, F Rezaie, C Jun, E Heggy… - Remote Sensing, 2023 - mdpi.com
Landslides are among the most frequent secondary disasters caused by earthquakes in
areas prone to seismic activity. Given the necessity of assessing the current seismic …

[HTML][HTML] Automatic damaged vehicle estimator using enhanced deep learning algorithm

J Qaddour, SA Siddiqa - Intelligent Systems with Applications, 2023 - Elsevier
Claim leakage costs insurance companies millions of dollars each year because of the
disparity between the cost spent by allowance businesses and the accurate quantity that …

Robust analysis and best practices in flood economic loss assessment using HEC-FIA and GO-Consequence software for climate-ready risk management

T Poulose, S Kumar - International Journal of Disaster Risk Reduction, 2024 - Elsevier
Evaluating economic losses is essential for effective flood mitigation and rescue missions.
While tools such as HAZUS and HEC-FIA have been extensively used for estimating …

Building loss assessment using deep learning algorithm from typhoon Rusa

JM Kim, J Bae, MD Adhikari, SG Yum - Heliyon, 2024 - cell.com
Climate crises such as extreme weather events, natural disasters and climate change
caused by climate transformations are causing much damage worldwide enough to be …

[HTML][HTML] Prioritizing stakeholder interactions in disaster management: A TOPSIS-based decision support tool for enhancing community resilience

S Elkady, S Mehryar, J Hernantes, L Labaka - Progress in Disaster Science, 2024 - Elsevier
The escalating impact of disasters underscores the urgency of building resilient
communities. Interactions among community stakeholders play a pivotal role in fostering …

State Aid in Reconstruction of Natural and Other Disasters' Consequences Using the Budget Funds of the Republic of Serbia

G Milošević, C Cvjetković-Ivetić… - International …, 2024 -  …
Financial law theory and practice emphasize the need to apply appropriate instruments to
ensure the equitable use of collected public revenues, not only to achieve the fiscal interests …

Identifying the potential participation in natural disaster insurance: first attempt based on a national socio-economic survey in Indonesia

SI Oktora, IY Wulansari, TH Siagian… - International Journal of …, 2024 - emerald.com
Purpose This study aims to identify the regions with a high risk of natural disaster, estimate
the proportion of households potentially participating in natural disaster insurance and …

A study of deep learning algorithm usage in predicting building loss ratio due to typhoons: the case of southern part of the Korean Peninsula

JM Kim, J Bae, MD Adhikari, SG Yum - Frontiers in Earth Science, 2023 - frontiersin.org
The goal of this study is to suggest an approach to predict building loss due to typhoons
using a deep learning algorithm. Due to the influence of climate change, the frequency and …

Assessing the Impact of Multi-hazard Events in Spain: A Clustering Index Framework

MP Pedra, J Hernantes, L Labaka - Dynamics of Disasters: From Natural …, 2024 - Springer
An increasing number of climatic disasters occur nowadays, causing social and financial
losses. There is a growing need to understand these events better, how systems cope with …