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DDNet: disaster damage detection for buildings based on dual-temporal joint attention network.

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Title: DDNet: disaster damage detection for buildings based on dual-temporal joint attention network.
Authors: Ge, Xiaosan1 (AUTHOR) gxs@hpu.edu.cn, Zhou, Lin1,2 (AUTHOR), Meng, Di1 (AUTHOR)
Source: Scientific Reports. 11/27/2025, Vol. 15 Issue 1, p1-16. 16p.
Database: Academic Search Ultimate
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An: 189636379
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  Data: DDNet: disaster damage detection for buildings based on dual-temporal joint attention network.
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  Data: <searchLink fieldCode="AR" term="%22Ge%2C+Xiaosan%22">Ge, Xiaosan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gxs@hpu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Lin%22">Zhou, Lin</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Meng%2C+Di%22">Meng, Di</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 11/27/2025, Vol. 15 Issue 1, p1-16. 16p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=189636379
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        Value: 10.1038/s41598-025-26480-5
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        Text: English
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      – TitleFull: DDNet: disaster damage detection for buildings based on dual-temporal joint attention network.
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            NameFull: Zhou, Lin
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              Text: 11/27/2025
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