Coverage area detection based on Voronoi diagram in wireless sensor network of metro. - Jingna Liu; Xiaoyun Sun; Hui Xing; Ye Zhao (ICMLC, 2016)

Weighted Node Network Voronoi Diagram and its application to optimization of chain stores layout. - Jingna Liu; Xiaoyun Sun; Shujuan Liu (Int. J. Mach. Learn. Cybern., 2016)

Recognition Of Bolt Quality Base On Elman Neural Network By Ant Colony Optimization Algorithm. - Wei-Guo Di; Xiao-Yun Sun; Mingming Wang; Hui Xing; Jingna Liu (ICMLC, 2018)

Optimization of Experiment Teaching in the Course of Mechanical Principle. - Pujun Hao; Jingna Liu; Wenpeng Ma; Ruiqin Wu (ICETM, 2020)

Curriculum Reform of "Fundamentals of Mechanical Design" for Non-Mechanical Majors Based on OBE Engineering Education Concept. - Jingna Liu; Pujun Hao; Linwei Lyu; Wenpeng Ma (ICETM, 2020)

Fine root capture and phenotypic analysis for tomato infected with Meloidogyne incognita. - Wei Lu; Xiaochan Wang; Fengjie Wang; Jingna Liu (Comput. Electron. Agric., 2020)

Vibration fault diagnosis based on stochastic configuration neural networks. - Jingna Liu; Rujiang Hao; Tianlun Zhang; Xizhao Wang (Neurocomputing, 2021)

Self-stacking random weight neural network with multi-layer features fusion. - Ai-Min Fu; Jingna Liu; Tian-Lun Zhang (Int. J. Mach. Learn. Cybern., 2022)

Feature extraction and classification algorithm, which one is more essential? An experimental study on a specific task of vibration signal diagnosis. - Qiang Liu; Jiade Zhang; Jingna Liu; Zhi Yang (Int. J. Mach. Learn. Cybern., 2022)

Multi-objective optimization based on hyperparameter random forest regression for linear motor design. - Cheng Wen; Qiankai Zhao; Mingye Li; Jingna Liu; Mingwei Li; Xingqiao Zhao (Int. J. Mach. Learn. Cybern., 2022)

Pest control switching models with instantaneous and non-instantaneous impulsive effects. - Jingna Liu; Qi Qi; Bing Liu 011; Shujing Gao (Math. Comput. Simul., 2023)

Prediction of remaining useful life of rolling element bearings based on LSTM and exponential model. - Jingna Liu; Rujiang Hao; Qiang Liu; Wenwu Guo (Int. J. Mach. Learn. Cybern., 2023)

A two-stage approach based on Bayesian deep learning for predicting remaining useful life of rolling element bearings. - Kaijian Chen; Jingna Liu; Wenwu Guo; Xizhao Wang (Comput. Electr. Eng., 2023)

Evolving stochastic configure network: A more compact model with interpretability. - Qin Wang; Jingna Liu; Wenwu Guo; Xizhao Wang (Inf. Sci., 2023)

Variable structure control of a singular predator-prey system with the influence of toxic substances. - Lichun Zhao; Jingna Liu; Miao Yu; Ya Liu; Bing Liu (J. Frankl. Inst., 2023)

Modeling of flexible metal wheel for pressurized lunar rover and traction performance prediction. - Jianzhong Zhu; Yan Shen; Pujun Hao; Jingna Liu; Yuqiong Li; Kang Wang; Meng Zou (J. Field Robotics, 2023)