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

Simple item page
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.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/27107
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.typepdf
dspace.entity.typeDistribution
relation.isDatasetOfDistribution2bab611e-595f-4e03-943f-8813e0389262
relation.isDatasetOfDistribution.latestForDiscovery2bab611e-595f-4e03-943f-8813e0389262

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ijgi-12-09-00356.pdf
Size:
1.03 MB
Format:
Adobe Portable Document Format
Download

Collections

2023