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Open access Aug 2026

Generative artificial intelligence and deep ensemble learning for short-term rockburst prediction in underground engineering using microseismic data

A two-step intelligent framework integrating generative artificial intelligence with deep ensemble learning that provides a reliable and interpretable solution for rockburst prediction under class imbalance, with promising applications in underground engineering safety.

Hai-Rui Liu, Peitao Li, Yong-Qiang Yu et al. · 0 citations

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