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A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making

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Bibliographic Details
Main Authors: Carlos, Galera-Zarco, Goulielmos, Floros
Format: Book
Language:English
Published: Springer 2023
Subjects:
quicker decision making
critical events
Online Access:https://link.springer.com/article/10.1007/s10479-023-05247-z
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8452
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spelling oai:localhost:PNK-84522023-05-12T04:29:28Z A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making Carlos, Galera-Zarco Goulielmos, Floros quicker decision making critical events CC BY Increasing levels of urbanisation and the rapid growth of modern cities require that particular attention be paid to ensuring the safety and protection of living conditions for their inhabitants. In this context, natural and human-induced disasters pose a major threat to the safety and normal operational procedures of buildings and infrastructures. In consequence, disaster management and built assets operations demand modern tools to be effectively prepared in order to better respond to such critical events. This study explores the potential of artificial intelligence in these operational fields by developing a deep learning model that is able to provide a rapid assessment of an asset’s structural condition in the case of a seismic excitation. The proposed simulation model makes an accurate prediction of the damage status of individual elements in a built asset, thus leading to operational improvements across all disaster management phases. 2023-05-12T04:29:28Z 2023-05-12T04:29:28Z 2023 Book https://link.springer.com/article/10.1007/s10479-023-05247-z https://dlib.phenikaa-uni.edu.vn/handle/PNK/8452 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic quicker decision making
critical events
spellingShingle quicker decision making
critical events
Carlos, Galera-Zarco
Goulielmos, Floros
A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making
description CC BY
format Book
author Carlos, Galera-Zarco
Goulielmos, Floros
author_facet Carlos, Galera-Zarco
Goulielmos, Floros
author_sort Carlos, Galera-Zarco
title A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making
title_short A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making
title_full A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making
title_fullStr A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making
title_full_unstemmed A deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making
title_sort deep learning approach to improve built asset operations and disaster management in critical events: an integrative simulation model for quicker decision making
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10479-023-05247-z
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8452
_version_ 1772331155121504256
score 8.891053

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