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.
· Frontiers in Earth Science · 0 citations