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1. A deep reinforcement learning approach for wind speed forecasting
2. Explainable deep learning hybrid models for enhanced prediction of river dissolved oxygen concentration
3. Hybrid attention based deep learning for forecasting boundary layer ozone using satellite derived profiles
4. Integrating the pressure-state-response model with the extension catastrophe progression for flood risk and resilience assessment
5. Deep learning for electroencephalography emotion recognition
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