Research on Hybrid CNN-LSTM Model Based on Drilling Parameters for Real-Time Refined Intelligent Classification and Visualization of Tunnel Face Rock Mass

Xi Xiao; Zhiqiang Yan; Rubing Yao; Ruijie Zhao; Jie Lu; Shaoshuai Shi

doi:10.1007/s13369-025-11006-y

Q1 2025

Research on Hybrid CNN-LSTM Model Based on Drilling Parameters for Real-Time Refined Intelligent Classification and Visualization of Tunnel Face Rock Mass

Xi Xiao · Zhiqiang Yan · Rubing Yao · Ruijie Zhao · Jie Lu · Shaoshuai Shi

10.1007/s13369-025-11006-y 387 Views 0 Citations

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Cite this Article (APA)

Xi, X., Zhiqiang, Y., Rubing, Y., Ruijie, Z., Jie, L., Shaoshuai, S. (2025). Research on Hybrid CNN-LSTM Model Based on Drilling Parameters for Real-Time Refined Intelligent Classification and Visualization of Tunnel Face Rock Mass. Arabian Journal for Science and Engineering. https://doi.org/10.1007/s13369-025-11006-y