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Flood vulnerability and buildings’ flood exposure assessment in a densely urbanised city: comparative analysis of three scenarios using a neural network approach

Crossref DOI link: https://doi.org/10.1007/s11069-022-05336-5

Published Online: 2022-04-05

Published Print: 2022-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Pham, Quoc Bao

Ali, Sk Ajim

Bielecka, Elzbieta

Calka, Beata

Orych, Agata

Parvin, Farhana

Łupikasza, Ewa
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Text and Data Mining valid from 2022-04-05

Version of Record valid from 2022-04-05
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Article History

Received: 28 December 2021

Accepted: 23 March 2022

First Online: 5 April 2022

Declarations

:

: The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

: Not applicable.

: Not applicable.

: Not applicable.

: This manuscript has not been published or presented elsewhere in part or in entirety and is not under consideration by another journal. There are no conflicts of interest to declare.

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