<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>21(2)</volume><submitter>Qu Y</submitter><journal>PloS one</journal><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12928600</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>A novel bridge wind-induced vibration response prediction algorithm based on temporal convolution network</pubmed_title><pmcid>PMC12928600</pmcid><pubmed_authors>Qu Y</pubmed_authors><pubmed_authors>Zuo S</pubmed_authors><pubmed_authors>Bai X</pubmed_authors><pubmed_authors>Zhu T</pubmed_authors></additional><is_claimable>false</is_claimable><name>A novel bridge wind-induced vibration response prediction algorithm based on temporal convolution network</name><description/><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Jan</publication><modification>2026-07-09T12:16:48.241Z</modification><creation>2026-07-09T11:15:13.893Z</creation></dates><accession>S-EPMC12928600</accession><cross_references/></HashMap>