Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Development of CNN-LSTM Flood Prediction Model Based on Sewer IoT Sensing Data-Application in Michuhol-gu, Incheon-하수도 IoT 센싱 데이터에 기반한 CNN-LSTM 침수예측 모델 개발 -인천 미추홀구에서의 적용-

Alternative Title
하수도 IoT 센싱 데이터에 기반한 CNN-LSTM 침수예측 모델 개발 -인천 미추홀구에서의 적용-
Authors
Donghwi Jung
Issue Date
20-10월-2022
Publisher
대한토목학회
Citation
KSCE 2022 CONVENTION CONFERENCE & CIVIL EXPO
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/144421
Conference Name
KSCE 2022 CONVENTION CONFERENCE & CIVIL EXPO
Place
KO
Conference Date
2022-10-19
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Civil, Environmental and Architectural Engineering > 2. Conference Papers

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE