Green Building Material Identifying with AI Approaches
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 안용한 | - |
dc.date.accessioned | 2023-08-16T07:31:39Z | - |
dc.date.available | 2023-08-16T07:31:39Z | - |
dc.date.issued | 2022-04 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/113812 | - |
dc.description.abstract | While 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.extent | 1 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | 한국구조물진단유지관리공학회 | - |
dc.title | Green Building Material Identifying with AI Approaches | - |
dc.title.alternative | AI 접근 방식으로 식별하는 친환경 건축 자재 | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.bibliographicCitation | 한국구조물진단유지관리공학회 학술발표회 논문집, v.26, no.1, pp 90 - 90 | - |
dc.citation.title | 한국구조물진단유지관리공학회 학술발표회 논문집 | - |
dc.citation.volume | 26 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 90 | - |
dc.citation.endPage | 90 | - |
dc.type.docType | Proceeding | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | other | - |
dc.subject.keywordAuthor | 지속가능한 설계 | - |
dc.subject.keywordAuthor | 건축 자재 | - |
dc.subject.keywordAuthor | 자연어처리 | - |
dc.subject.keywordAuthor | Sustainability Design | - |
dc.subject.keywordAuthor | Building material | - |
dc.subject.keywordAuthor | NLP | - |
dc.identifier.url | https://kiss.kstudy.com/Detail/Ar?key=3964631 | - |
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