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MEMPSEP‐II. Forecasting the Properties of Solar Energetic Particle Events Using a Multivariate Ensemble Approach
Published 2024-09-01“…The MEMPSEP model relies on an ensemble of Convolutional Neural Networks, which leverage a multi‐variate data set comprising full‐disc magnetogram sequences and numerous derived and in‐situ data from various sources (MEMPSEP‐III by Moreland et al., 2024, https://doi.org/10.1029/2023SW003765). …”
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Using youth-specific approaches to illuminate character-well-being relations
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AUGUR, a flexible and efficient optimization algorithm for identification of optimal adsorption sites
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Thermal comfort and energy related occupancy behavior in Dutch residential dwellings
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Experimental Study on RC Deep Beams with Non-Prestressed Tendons as Main Reinforcement
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Coupling Physical Factors for Precipitation Forecast in China With Graph Neural Network
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Hybrid deep learning for IoT-based health monitoring with physiological event extraction
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Long-Term Gait-Balance Monitoring Artificial Intelligence System for Various Terrain Types
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