中国科学院机构知识库网格系统: 检索

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	Research on the Method for Solving the Safety Factor of Rock Slope Based on Deformation Monitoring Warning Threshold 期刊论文 OAI收割 APPLIED SCIENCES-BASEL, 2024, 卷号: 14, 期号: 24, 页码: 16 作者: Wei, Xiaoyan; Zhang, Xiuli \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2025/06/27 rocky slopes safety factor strength reduction method monitoring and warning deformation rate
	Bayesian Estimation for Probability Distribution of Rock's Elastic Modulus Based on Compression Wave Velocity and Deformation Warning for Large Underground Cavern 期刊论文 OAI收割 ROCK MECHANICS AND ROCK ENGINEERING, 2022, 卷号: 55, 期号: 6, 页码: 3749 作者: Liu, Jian; Jiang, Quan; Chen, Tao; Yan, Shengcun; Ying, Jianhui \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2023/08/02 Bayesian method Ultrasonic testing Elastic modulus Safety warning Displacement probability quantile
	Bayesian Estimation for Probability Distribution of Rock's Elastic Modulus Based on Compression Wave Velocity and Deformation Warning for Large Underground Cavern 期刊论文 OAI收割 ROCK MECHANICS AND ROCK ENGINEERING, 2022, 页码: 19 作者: Liu, Jian; Jiang, Quan; Chen, Tao; Yan, Shengcun; Ying, Jianhui \| 收藏 \| 浏览/下载：71/0 \| 提交时间：2022/04/11 Bayesian method Ultrasonic testing Elastic modulus Safety warning Displacement probability quantile
	Research on intelligent risk early warning of open-pit blasting site based on deep learning 期刊论文 OAI收割 Energy Sources, Part A: Recovery, Utilization and Environmental Effects, 2021, 页码: 1-18 作者: Liu XB(柳小波); Yang, Hangyuan; Jing HD(荆洪迪); Sun, Xiaoyu; Yu, Jianyang \| 收藏 \| 浏览/下载：45/0 \| 提交时间：2021/05/10 Blasting safety open pit mine risk early warning deep learning object detection
	基于事故树和员工安全评测的供水风险识别研究学位论文 OAI收割北京: 中国科学院生态环境研究中心, 2020 作者: 张官兵 \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2021/07/09 城市供水，水源事故树安全评测预警 urban Water Supply, Water Source f Ault Tree, Safety Evaluation, Early Warning
	Toward intelligent driver-assistance and safety warning systems 期刊论文 OAI收割 IEEE INTELLIGENT SYSTEMS, 2004, 卷号: 19, 期号: 2, 页码: 8-11 作者: Zheng, NN; Tang, SM; Cheng, H; Li, Q; Lai, GP 收藏 \| 浏览/下载：24/0 \| 提交时间：2015/09/23 intelligent driver-assistance,safety warning systems