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Generative self-supervised learning for seismic event classification
DOI:10.1016/j.engappai.2025.113355.png)
Abstract
En 中文
• Generative self-supervised model for efficient extraction of seismic event features. • Semi-supervised learning approach that minimizes the need for extensive labeled data. • SOM (Self-Organizing Map)-based method to significantly enhance the efficiency of manual data labeling by experts.
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5.3K
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