MS-LIP: Multiscale Semantic Information Integration With Large Language Models for Marine Prediction
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MS-LIP: Multiscale Semantic Information Integration With Large Language Models for Marine Prediction
ReferencesShowing 10 of 40 papersMulti-station collaborative wave height prediction based on multi-feature identification and interpretable analysis CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System A federated learning based approach for wave height prediction in maritime transportation DiffATR: Diffusion-based Generative Modeling for Audio-Text Retrieval An Unstructured Grid, Finite-Volume, Three-Dimensional, Primitive Equations Ocean Model: Application to Coastal Ocean and Estuaries MIMO: A Unified Spatio-Temporal Model for Multi-Scale Sea Surface Temperature Prediction Long-Term Prediction of Sea Surface Temperature by Temporal Embedding Transformer With Attention Distilling and Partial Stacked Connection D2CL: A Dense Dilated Convolutional LSTM Model for Sea Surface Temperature Prediction Forecasting wind waves in the US Atlantic Coast using an artificial neural network model: Towards an AI-based storm forecast system
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