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| Ship Motion-Based Prediction of Damage Locations Using Bidirectional Long Short-Term Memory |
| Hye-young Son, Gi-yong Kim, Hee-jin Kang, Jin Choi, Dong-kon Lee, Sung-chul Shin |
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J. Ocean Eng. Technol.. 2022;36(5):295-302. Published online October 28, 2022 DOI: https://doi.org/10.26748/KSOE.2022.026 |
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Ship Motion-Based Prediction of Damage Locations Using Bidirectional Long Short-Term Memory Journal of Ocean Engineering and Technology. 2022;36(5):295-302  A Deep Learning-Based Approach for Stock Price Prediction Using Bidirectional Gated Recurrent Unit and Bidirectional Long Short Term Memory Model 2021 2nd Global Conference for Advancement in Technology (GCAT). 2021; Short - time detection of QRS complex es using dual channel s based on U-Net and bidirectional long short - term memory . 2020; Short - time detection of QRS complex es using dual channel s based on U-Net and bidirectional long short - term memory . 2020; District heating load prediction algorithm based on bidirectional long short-term memory network model Energy. 2022;254:124283 Wind Speed and Solar Irradiance Prediction Using a Bidirectional Long Short-Term Memory Model Based on Neural Networks Energies. 2021;14(20):6501 Prediction of Protein B-factor Profiles based on Bidirectional Long Short-Term Memory Network . 2023; Research on Ship Motion Prediction Algorithm Based on Dual-Pass Long Short-Term Memory Neural Network IEEE Access. 2021;9:28429-28438 Online Prediction of Ship Behavior with Automatic Identification System Sensor Data Using Bidirectional Long Short-Term Memory Recurrent Neural Network Sensors. 2018;18(12):4211 Research on Stock Prediction Based on Bidirectional Long Short Term Memory Neural Network Model Based on Attention Mechanism Optimization Highlights in Business, Economics and Management. 2023;10:283-290 |
