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Scientific Research
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陈阳
Research Associate
Name (Pinyin):
cy
School/Department:
船舶工程学院
Gender:
Male
Degree:
Doctoral Degree in Engineering
Professional Title:
Research Associate
Status:
Employed
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Paper Publications
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Paper Publications
Yang Chen.Lihao Yuan. Enhancing Long-Term Motion Prediction for Floating Energy Platforms: A Physics-Informed Framework Multi-Scale Recalibrated Fusion Transformer Model,Energy,2026,2026: 1403
Yang Chen.Lihao Yuan. Motion prediction enhancement for offshore platforms under typhoon conditions using DynaSparse-ConvLSTM with dynamic sparse gating and multi-source fusion,Ocean Engineering,2026,
Yang Chen.Lihao Yuan. Forecasting mooring tension of offshore platforms based on complete ensemble empirical mode decomposition with adaptive noise and deep learning network,Measurement,2025,
Yang Chen.Lihao Yuan. Licheng Qin. A forecasting model with hybrid bidirectional long short-term memory for mooring line responses of semi-submersible offshore platforms,Applied Ocean Research,2024,
Lihao Yuan. Yang Chen. A novel hybrid approach to mooring tension prediction for semi-submersible offshore platforms,Ocean Engineering,2023,
Lihao Yuan.Yang Chen. Real-time prediction of mooring tension for semi-submersible platforms,Applied Ocean Research,2024,
Mingyang Guo.Yang Chen. Miao Chen,Lihao Yuan. Analysis of the impact on pedestrian emergency evacuation under ship motion conditions considering dynamic forces and gait adjustments,Chaos, Solitons & Fractals,2026,
Mingyang Guo.Lihao Yuan. Jialin Cui,Yang Chen. Quantification of influencing factors in the pedestrian evacuation process under ship motion conditions based on evacuation efficiency analysis,Reliability Engineering & System Safety,2026,
Yang Chen. Lihao Yuan. Robust Motion Response Prediction for Semi-submersible Platforms under Typhoon Conditions via Multi-source Feature Fusion,International Conference on Offshore Mechanics and Arctic Engineering. American Society of Mechanical Engineers,2026,
Yang Chen. Lihao Yuan. Forecasting Mooring Tension of Semi-Submersible Oil Production and Storage Platform Using a Novel Transformer Neural Network Model,International Conference on Offshore Mechanics and Arctic Engineering. American Society of Mechanical Engineers,2024,
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