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Green Building Material Identifying with AI Approaches

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dc.contributor.author안용한-
dc.date.accessioned2023-08-16T07:31:39Z-
dc.date.available2023-08-16T07:31:39Z-
dc.date.issued2022-04-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/113812-
dc.description.abstractWhile the construction industry has surged and posed many adverse impacts on the environment, the use of green materials is considered as one of the potential solutions to ease environmental burdens. However, the green building material selection process is time-consuming, costly. Thus, our study aimed to support the green building materials users by developing an automatically green building identification approach usingNatural language process (NLP), Deep Learning (DL), Application Programming Interface (API).-
dc.format.extent1-
dc.language영어-
dc.language.isoENG-
dc.publisher한국구조물진단유지관리공학회-
dc.titleGreen Building Material Identifying with AI Approaches-
dc.title.alternativeAI 접근 방식으로 식별하는 친환경 건축 자재-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation한국구조물진단유지관리공학회 학술발표회 논문집, v.26, no.1, pp 90 - 90-
dc.citation.title한국구조물진단유지관리공학회 학술발표회 논문집-
dc.citation.volume26-
dc.citation.number1-
dc.citation.startPage90-
dc.citation.endPage90-
dc.type.docTypeProceeding-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.subject.keywordAuthor지속가능한 설계-
dc.subject.keywordAuthor건축 자재-
dc.subject.keywordAuthor자연어처리-
dc.subject.keywordAuthorSustainability Design-
dc.subject.keywordAuthorBuilding material-
dc.subject.keywordAuthorNLP-
dc.identifier.urlhttps://kiss.kstudy.com/Detail/Ar?key=3964631-
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ERICA 공학대학 (MAJOR IN ARCHITECTURAL ENGINEERING)
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