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Low-level wind shear identification for imbalanced samples
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DOI：10.1016/j.atmosres.2026.108924.png)
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Abstract
En 中文
• IAWS-Net ensures robust wind shear identification under class imbalance. • Integrated attention module dynamically enhances key feature perception. • Focal Margin Loss boosts minority sensitivity and reduces missed alarms. • Improved simulation with noise generates realistic data for validation.
Keywords:
wind shear identification
class imbalance
attention module
focal margin loss
realistic simulation
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