中南大学 maju

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马举

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[1] Weizhang Liang, Huanxin Liu, Guoyan Zhao, Ying Chen, Ju Ma. Assessing the Probability of Strainburst Potential Via an Integration of Monte Carlo Simulation and Machine Learning Algorithms. Rock Mechanics and Rock Engineering. 2023(56): 129–142. JCR: Q1, 本人为通讯作者.
[2] Longjun Dong, Yihan Zhang, Shuijin Bi, Ju Ma. Uncertainty investigation for the classification of rock micro-fracture types using acoustic emission parameters. International Journal of Rock Mechanics and Mining Sciences. https://doi.org/10.1016/j.ijrmms.2022.105292. JCR: Q1, 本人为通讯作者.
[3] Dong L, Tong X, Ma J. Quantitative investigation of tomographic effects in abnormal regions of complex structures. Engineering 7 (7): 1011–1022. 2021. JCR: Q1, 本人为通讯作者.
[4] Yuan Zhao, Guoyan Zhao, Jing Zhou, Ju Ma. Failure mechanism analysis of rock in particle discrete element method simulation based on moment tensors. Computers and Geotechnics. 2021. DOI: 10.1016/j.compgeo.2021.104215. JCR: Q2.
[5] Guoyan Zhao, Ju Ma, Longjun Dong, et al. Classification of mine blasts and microseismic events using starting up features in seismograms. Transactions of Nonferrous Metals Society of China. 2015, (10): 3410-3420. Doi: 10.1016/S1003-6326(15)63976-0. JCR: Q2.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] 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.
[12] 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.
[13] 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.
[14] 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.
[15] 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.

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