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[11]zhouyong,刘浩,liubing,Jiaqi Zhao,Rui Yao,Zhiwen Shao.Incremental learning with neural networks for computer vision: a survey,2022
[2]lijuanjuan,Yu, Jin,Xu, Wentao,lixiaozhao,付天池,Deng, Long-Chuan.Influence of Cutter Ring Structure on Rock-Breaking Force and Efficiency of TBM Disc Cutter Based on Discrete Element Method,2025,卷: 15期: 17
[3]Tian, Chuangeng,Li, Fanjia,Liu, Xiaomeng,lijuanjuan.Optimized Identity Authentication via Channel State Information for Two-Factor User Verification in Information Systems,2025,v 25,n 8,
[4]lijuanjuan,邓龙传,张弛,许文涛,付天池,lixiaozhao.盾构刮刀旋转破岩力学特性试验研究,2025,2025年02期:452-462,11
[5]Li, Fanjia,Zhu, Aichun,lijuanjuan,Xu Yonggang,Zhang, Yandong,yinhongsheng,华钢.Frequency-driven channel attention-augmented full-scale temporal modeling network for skeleton-based action recognition,2022,v 256,
[6]Zhang, Wenliang,宋雷,李娟娟.Efficient 3D reconstruction of random heterogeneous media via random process theory and stochastic reconstruction procedure,2019,v 354,p1-15
[7]lijuanjuan,Li, Fanjia,Mingshun Hu,Zhou, Xuan,huoyu.Dynamic monitoring of the mining-induced fractured zone in overburden strata, based on geo-electrical characteristics,2019,卷: 12期: 14
[8]lijuanjuan.Evaluation of geological conditions for coalbed methaneoccurrence based on 3D seismic information,2017
[9]lijuanjuan,Li, Fanjia,Mingshun Hu,zhangwei,pandongming.Evaluation of geological conditions for coalbed methane occurrence based on 3D seismic information: a case study in Fowa region, Xinjing coal mine, China,2017,卷: 65期: 2页: 345-351
[10]lijuanjuan,dingenjie.Multi-parameter numerical simulation of dynamic monitoring of rock deformation in deep,2016,26;5;
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