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[21]Yuan Zhao, Guoyan Zhao, Jing Zhou, Xin Cai, Ju Ma. Mining Stress Evolution Law of Inclined Backfilled Stopes Considering the Brittle-Ductile Transition in Deep Mining. Mathematics. 2022. DOI: 10.3390/math10081308.
[22]Naiping Li, Jinghan Zhang, Sujuan Wang, Yongfang Jiang, Jing Ma, Ju Ma. Machine Learning Assessment for Severity of Liver Fibrosis for Chronic HBV Based on Physical Layer with Serum Markers. IEEE Access. 2019. DOI: 10.1109/ACCESS.2019.2923688.
[23]Longjun Dong, Xibing Li, Zilong Zhou, Guanghui Chen, Ju Ma. Three-dimensional analytical solution of acoustic emission source location for cuboid monitoring network without pre-measured wave velocity. Transactions of nonferrous metals society of China. 2015. DOI: 10.1016/S1003-6326(15)63604-4.
[24]Zhao G, Ju Ma, Dong L, et al. Classification of mine blasts and microseismic events using starting-up features in seismograms. Transactions of Nonferrous Metals Society of China. 2015, 25(10): 3410-3420.
[25]Dong L J, Sun D Y, Li X B, J Ma, GH Chen, CX Zhang. A statistical method to identify blasts and microseismic events and its engineering application. Chin. J. Rock Mech. Eng, 2016, 35(7): 1423-1433.
[26]方博扬,赵国彦,马举,陈立强,简筝.Adaboost集成学习优化的巷道围岩松动圈预测研究[J].黄金科学技术,2023,31(03):497-506.
[27]简筝,马举,刘晓,勇国栋.全波形矩张量反演方法及其在矿山微震监测中的应用[J].黄金,2022,43(04):33-37.
[28]简筝,赵国彦,王玺,马举,肖屈日.砂土介质振弦式土压力盒标定试验[J].黄金科学技术,2020,28(04):541-549.
[29]陈冠,李启月,刘小雄,吴正宇,马举.液态CO_2相变破岩振动信号能量分布特征[J].爆破,2018,35(02):155-163.
[30]张楚旋,李夕兵,康虔董,陇军,马举.基于微震活动性参数的矿山灾害风险性评价[J].安全与环境学报,2017,17(04):1276-1280.DOI:10.13637/j.issn.1009-6094.2017.04.012.
[31]张楚旋,李夕兵,董陇军,马举,黄麟淇.顶板冒落前后微震活动性参数分析及预警[J].岩石力学与工程学报,2016,35(S1):3214-3221.DOI:10.13722/j.cnki.jrme.2015.0928.
[32]赵国彦,邓青林,马举.基于FSWT时频分析的矿山微震信号分析与识别[J].岩土工程学报,2015,37(02):306-312.
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