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Development of CNN-LSTM Flood Prediction Model Based on Sewer IoT Sensing Data-Application in Michuhol-gu, Incheon-

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dc.contributor.authorDonghwi Jung-
dc.date.accessioned2022-10-29T14:40:30Z-
dc.date.available2022-10-29T14:40:30Z-
dc.date.created2022-10-29-
dc.date.issued2022-10-20-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/144421-
dc.publisher대한토목학회-
dc.titleDevelopment of CNN-LSTM Flood Prediction Model Based on Sewer IoT Sensing Data-Application in Michuhol-gu, Incheon--
dc.title.alternative하수도 IoT 센싱 데이터에 기반한 CNN-LSTM 침수예측 모델 개발 -인천 미추홀구에서의 적용--
dc.typeConference-
dc.contributor.affiliatedAuthorDonghwi Jung-
dc.identifier.bibliographicCitationKSCE 2022 CONVENTION CONFERENCE & CIVIL EXPO-
dc.relation.isPartOfKSCE 2022 CONVENTION CONFERENCE & CIVIL EXPO-
dc.relation.isPartOf학술대회 초록집-
dc.citation.titleKSCE 2022 CONVENTION CONFERENCE & CIVIL EXPO-
dc.citation.conferencePlaceKO-
dc.citation.conferenceDate2022-10-19-
dc.type.rimsCONF-
dc.description.journalClass2-
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