Multi-Type Features Embedded Deep Learning Framework for Residential Building Prediction

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datacite.relatedItem.firstPage356
datacite.relatedItem.issue9
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume12
dc.contributor.authorYijiang Zhao
dc.contributor.authorXiao Tang
dc.contributor.authorZhuhua Liao
dc.contributor.authorYizhi Liu
dc.contributor.authorMin Liu
dc.contributor.authorJian Lin
dc.date.accessioned2025-05-14T14:51:41Z
dc.date.available2025-05-14T14:51:41Z
dc.date.issued2023
dc.identifier.doihttps://doi.org/10.3390/ijgi12090356
dc.identifier.otherjz000148-0354
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/27106
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleMulti-Type Features Embedded Deep Learning Framework for Residential Building Prediction
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/27107
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