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ORCIDJingna Liu
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2020 – today
- 2023
[j12]Kaijian Chen, Jingna Liu, Wenwu Guo, Xizhao Wang
:
A two-stage approach based on Bayesian deep learning for predicting remaining useful life of rolling element bearings. Comput. Electr. Eng. 109(Part B): 108745 (2023)- [j11]Qin Wang, Jingna Liu, Wenwu Guo, Xizhao Wang:
Evolving stochastic configure network: A more compact model with interpretability. Inf. Sci. 639: 119006 (2023) - [j10]Lichun Zhao, Jingna Liu, Miao Yu, Ya Liu, Bing Liu:
Variable structure control of a singular predator-prey system with the influence of toxic substances. J. Frankl. Inst. 360(18): 14731-14745 (2023) - [j9]Jianzhong Zhu, Yan Shen, Pujun Hao, Jingna Liu, Yuqiong Li, Kang Wang, Meng Zou:
Modeling of flexible metal wheel for pressurized lunar rover and traction performance prediction. J. Field Robotics 40(8): 2030-2041 (2023) - [j8]Jingna Liu, Qi Qi, Bing Liu, Shujing Gao:
Pest control switching models with instantaneous and non-instantaneous impulsive effects. Math. Comput. Simul. 205: 926-938 (2023) - [j7]Jingna Liu, Rujiang Hao, Qiang Liu, Wenwu Guo:
Prediction of remaining useful life of rolling element bearings based on LSTM and exponential model. Int. J. Mach. Learn. Cybern. 14(4): 1567-1578 (2023) - 2022
- [j6]Qiang Liu, Jiade Zhang, Jingna Liu, Zhi Yang:
Feature extraction and classification algorithm, which one is more essential? An experimental study on a specific task of vibration signal diagnosis. Int. J. Mach. Learn. Cybern. 13(6): 1685-1696 (2022) - [j5]Ai-Min Fu, Jingna Liu, Tian-Lun Zhang:
Self-stacking random weight neural network with multi-layer features fusion. Int. J. Mach. Learn. Cybern. 13(7): 1945-1957 (2022) - [j4]Cheng Wen, Qiankai Zhao, Mingye Li, Jingna Liu, Mingwei Li, Xingqiao Zhao:
Multi-objective optimization based on hyperparameter random forest regression for linear motor design. Int. J. Mach. Learn. Cybern. 13(10): 2929-2942 (2022) - 2021
- [j3]Jingna Liu, Rujiang Hao, Tianlun Zhang, Xizhao Wang:
Vibration fault diagnosis based on stochastic configuration neural networks. Neurocomputing 434: 98-125 (2021) - [i1]Qiang Liu, Jiade Zhang, Jingna Liu, Zhi Yang:
Feature extraction and classification algorithm, which one is more essential? An experimental study on a specific task of vibration signal diagnosis. CoRR abs/2112.09389 (2021) - 2020
- [j2]Wei Lu, Xiaochan Wang, Fengjie Wang, Jingna Liu:
Fine root capture and phenotypic analysis for tomato infected with Meloidogyne incognita. Comput. Electron. Agric. 173: 105455 (2020) - [c4]Pujun Hao, Jingna Liu, Wenpeng Ma, Ruiqin Wu:
Optimization of Experiment Teaching in the Course of Mechanical Principle. ICETM 2020: 55-59 - [c3]Jingna Liu, Pujun Hao, Linwei Lyu, Wenpeng Ma:
Curriculum Reform of "Fundamentals of Mechanical Design" for Non-Mechanical Majors Based on OBE Engineering Education Concept. ICETM 2020: 89-93
2010 – 2019
- 2018
- [c2]Wei-Guo Di, Xiao-Yun Sun, Mingming Wang, Hui Xing, Jingna Liu:
Recognition Of Bolt Quality Base On Elman Neural Network By Ant Colony Optimization Algorithm. ICMLC 2018: 210-214 - 2016
- [j1]Jingna Liu, Xiaoyun Sun, Shujuan Liu:
Weighted Node Network Voronoi Diagram and its application to optimization of chain stores layout. Int. J. Mach. Learn. Cybern. 7(4): 679-688 (2016) - [c1]Jingna Liu, Xiaoyun Sun, Hui Xing, Ye Zhao:
Coverage area detection based on Voronoi diagram in wireless sensor network of metro. ICMLC 2016: 410-415
Coauthor Index
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