ABSENCE OF NEISSERIA MENINGITIDIS W-135 ELECTROPHORETIC TYPE 37 DURING THE HAJJ, 2002




Few shot learning for Korean winter temperature forecasts

Abstract To address the challenge of limited training samples, this study employs the model-agnostic meta-learning (MAML) algorithm along with domain-knowledge-based data augmentation to predict winter temperatures on the Korean Peninsula.While data augmentation has been achieved by using global climate model simulations, the proposed augmentation

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