CrossRef Text and Data Mining
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Flood Stage Forecasting at the Gurye-Gyo Station in Sumjin River Using LSTM-Based Deep Learning Models
Jaewon Jung, Hyelim Mo, Junhyeong Lee, Younghoon Yoo, Hung Soo Kim
J. Korean Soc. Hazard Mitig.. 2021;21(3):193-201.   Published online June 25, 2021
DOI: https://doi.org/10.9798/KOSHAM.2021.21.3.193

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Flood Stage Forecasting at the Gurye-Gyo Station in Sumjin River Using LSTM-Based Deep Learning Models
Journal of the Korean Society of Hazard Mitigation. 2021;21(3):193-201   Crossref logo
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Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models
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Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models
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An approach for forecasting the Onion Price volatility in Indian Wholesale Markets using hybrid GARCH-LSTM Deep learning models
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Flood Stage Forecasting Using Machine-Learning Methods: A Case Study on the Parma River (Italy)
Water. 2021;13(12):1612   Crossref logo
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Water quality assessment of a river using deep learning Bi-LSTM methodology: forecasting and validation
Environmental Science and Pollution Research. 2021;   Crossref logo
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Deep Learning Based Models: Basic LSTM, Bi LSTM, Stacked LSTM, CNN LSTM and Conv LSTM to Forecast Agricultural Commodities Prices
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Analysis and Forecasting of Financial Time Series Using CNN and LSTM-Based Deep Learning Models
Advances in Distributed Computing and Machine Learning. 2022;405-423   Crossref logo
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DEVELOPMENT OF A DEEP-LEARNING BASED WAVE FORECASTING MODEL USING LSTM NETWORK
Coastal Engineering Proceedings. 2020;(36v)31   Crossref logo
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Power Demand Forecasting using Long Short-Term Memory (LSTM) Deep-Learning Model for Monitoring Energy Sustainability
Sustainability. 2020;12(3):1109   Crossref logo
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