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A Deep Learning Approach to Predicting Urban Air Temperature Using Convolutinal Neural Networks
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 이수기 | - |
| dc.date.accessioned | 2025-12-11T11:00:52Z | - |
| dc.date.available | 2025-12-11T11:00:52Z | - |
| dc.date.issued | 2025-11-08 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/209778 | - |
| dc.title | A Deep Learning Approach to Predicting Urban Air Temperature Using Convolutinal Neural Networks | - |
| dc.type | Conference | - |
| dc.citation.conferenceName | 한국도시설계학회 추계학술대회 | - |
| dc.citation.conferencePlace | 전주대학교 | - |
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Collections - 서울 공과대학 > 서울 도시공학과 > 2. Conference Papers
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Related Researcher
- Lee, Sugie
- COLLEGE OF ENGINEERING (DEPARTMENT OF URBAN PLANNING AND ENGINEERING)