A GIS-based seismic hazard, building vulnerability and human loss assessment for the earthquake scenario in Tabriz

S Karimzadeh, M Miyajima, R Hassanzadeh… - Soil Dynamics and …, 2014 - Elsevier
A GIS-oriented procedure that may partially illuminate the consequences of a possible
earthquake is presented in two main steps (seismic microzonation and vulnerability steps) …

A review on marine economics and management: How to exploit the ocean well

S Wang, W Li, L Xing - Water, 2022 - mdpi.com
With the objective of establishing methods for high-quality marine development and effective
marine management, this review focuses on four dimensions of marine development …

A stacking-based ensemble learning method for earthquake casualty prediction

S Cui, Y Yin, D Wang, Z Li, Y Wang - Applied Soft Computing, 2021 - Elsevier
The estimation of the loss and prediction of the casualties in earthquake-stricken areas are
vital for making rapid and accurate decisions during rescue efforts. The number of casualties …

Disaster early warning and damage assessment analysis using social media data and geo-location information

D Wu, Y Cui - Decision support systems, 2018 - Elsevier
Societies are confronted with destructive natural disasters of increasing frequency. Social
networks are playing an increasingly important role as early warning systems, aiding with …

Probabilistic assessment of civil infrastructure resilience to earthquakes

P Franchin, F Cavalieri - Computer‐Aided Civil and …, 2015 - Wiley Online Library
The large losses occurred in the past due to earthquakes, even in highly developed
countries, as well as the ensuing prolonged inactivity of the stricken societies, imparted …

Testing machine learning models for seismic damage prediction at a regional scale using building-damage dataset compiled after the 2015 Gorkha Nepal earthquake

S Ghimire, P Guéguen, S Giffard-Roisin… - Earthquake …, 2022 - journals.sagepub.com
Assessing post-seismic damage on an urban/regional scale remains relatively difficult owing
to the significant amount of time and resources required to acquire information and conduct …

Rapid earthquake loss assessment based on machine learning and representative sampling

Z Stojadinović, M Kovačević, D Marinković… - Earthquake …, 2022 - journals.sagepub.com
This article proposes a new framework for rapid earthquake loss assessment based on a
machine learning damage classification model and a representative sampling algorithm. A …

Lifetime seismic risk assessment of bridges with construction and aging considerations

J Zhong, Y Mao, X Yuan - Structures, 2023 - Elsevier
The seismic risk analysis of bridges in the construction period has not drawn due attention in
the seismic risk assessment of the whole bridge life cycle. Therefore, a seismic risk …

The development of Gaussian process regression for effective regional post‐earthquake building damage inference

M Sheibani, G Ou - Computer‐Aided Civil and Infrastructure …, 2021 - Wiley Online Library
Post‐earthquake reconnaissance survey of structural damage is an effective way of
documenting and understanding the impact of earthquakes on structures. This article aims at …

Crack image-based FEMA P-58-compliant fragility models for automated earthquake-induced loss estimation in non-ductile RC moment frames

P Zamani, S Azhari, M Hamidia, N Hassani - Structures, 2024 - Elsevier
In this paper, a probabilistic post-earthquake loss estimation methodology based on image
processing is proposed for non-seismically designed reinforced concrete moment frames …