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NTIS 바로가기한국지반신소재학회논문집 = Journal of the Korean Geosynthetics Society, v.21 no.2, 2022년, pp.11 - 19
장승주 (Civil Eng. Office 1, Seoul Metro) , 장승엽 (Dept. of Transportation System Engineering, Graduate School of Transportation)
In this paper, we propose a GoogleNet transfer learning and CNN-LSTM combination method to improve the time-series prediction performance for crack detection using crack data captured inside the sewer pipes. LSTM can solve the long-term dependency problem of CNN, so spatial and temporal characterist...
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