최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기韓國情報技術學會論文誌 = Journal of Korean institute of information technology, v.21 no.10, 2023년, pp.47 - 57
Kim, Chang-Bok
초록이 없습니다.
https://www.greenpeace.org/korea/update/23683/blogce-extreme-climate-hazards [accessed: Aug. 8, 2023]
I. Y. Lee, J. Y. Park, M. S. Son, S. G. Cho, M. K. Jeong, and C. G. Kim, "Nowcasting in Korean Territory using Korean Total Precipitable Water Dataset and Deep Neural Network", Autumn Annual Conference of Journal of the Institute of Electronics and Information Engineers, pp. 847-851, Jun. 2022.
Zhang, Pengcheng, Jia, Yangyang, Gao, Jerry, Song, Wei, Leung, Hareton. Short-Term Rainfall Forecasting Using Multi-Layer Perceptron. IEEE transactions on big data, vol.6, no.1, 93-106.
Li, Wei, Kiaghadi, Amin, Dawson, Clint. High temporal resolution rainfall-runoff modeling using long-short-term-memory (LSTM) networks. Neural computing & applications, vol.33, no.4, 1261-1278.
Trebing, Kevin, Staǹczyk, Tomasz, Mehrkanoon, Siamak. SmaAt-UNet: Precipitation nowcasting using a small attention-UNet architecture. Pattern recognition letters, vol.145, 178-186.
Barzegar, Rahim, Aalami, Mohammad Taghi, Adamowski, Jan. Short-term water quality variable prediction using a hybrid CNN-LSTM deep learning model. Stochastic environmental research and risk assessment : research journal, vol.34, no.2, 415-433.
Kim, Chang-Bok. Deep Learning Model for Prediction Rate Improvement of Weather Data using Parallel Merge Structure. 韓國情報技術學會論文誌 = Journal of Korean institute of information technology, vol.20, no.4, 131-140.
https://data.kma.go.kr/cmmn/main.do [accessed: Aug. 7, 2023]
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