Papers

• Deep learning-based prediction of time-resolved adhesive forces in viscoelastic Hertzian contacts (2026)
  Ali Maghami et al.
  4.39
• Skillful Global Ocean Emulation and the Role of Correlation-Aware Loss (2026)
  Niraj Agarwal et al.
  1.83
• Marine Chlorophyll Prediction and Driver Analysis based on LSTM-RF Hybrid Models (2025)
  Zhouyao Qian et al.
  1.39
• A Study on Monthly Marine Heatwave Forecasts in New Zealand: An Investigation of Imbalanced Regression Loss Functions with Neural Network Models (2025)
  Ding Ning et al.
  1.06
• Multi-Year-to-Decadal Temperature Prediction using a Machine Learning Model-Analog Framework (2025)
  M. A. Fernandez and Elizabeth A. Barnes
  1.06
• WaveCastNet: Rapid Wavefield Forecasting for Earthquake Early Warning via Deep Sequence to Sequence Learning (2024)
  Dongwei Lyu et al.
  0.61
• Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State (2021)
  Danny D'Agostino et al.
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• Prediction of fish location by combining fisheries data and sea bottom temperature forecasting (2022)
  Matthieu Ospici et al.
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• Data-Driven Short-Term Daily Operational Sea Ice Regional Forecasting (2022)
  Timofey Grigoryev et al.
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• MT-IceNet -- A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting (2023)
  Sahara Ali et al.
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• Surrogate Modelling for Sea Ice Concentration using Lightweight Neural Ensemble (2023)
  Julia Borisova et al.
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• Regional Ocean Forecasting with Hierarchical Graph Neural Networks (2024)
  Daniel Holmberg et al.
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• Advancing Marine Heatwave Forecasts: An Integrated Deep Learning Approach (2024)
  Ding Ning et al.
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