Zhenzhen Jin

According to our database, Zhenzhen Jin authored at least 11 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Research on flow scheduling of train communication based on time-sensitive network.

Tiexiang Liu, Deqiang He, Zhenzhen Jin, Sheng Shan, Yanjun Chen, Qilin Chen

Simul. Model. Pract. Theory, January, 2024

Unsupervised intrusion detection for rail transit based on anomaly segmentation.

Yixin Shen, Deqiang He, Qi Liu, Zhenzhen Jin, Xianwang Li, Chonghui Ren

Signal Image Video Process., 2024

2023

Intelligent fault diagnosis and health stage division of bearing based on tensor clustering and feature space denoising.

Zexian Wei, Deqiang He, Zhenzhen Jin, Sheng Shan, Xueyan Zou, Jian Miao, Chang Liu

Appl. Intell., November, 2023

Density-Based Affinity Propagation Tensor Clustering for Intelligent Fault Diagnosis of Train Bogie Bearing.

Zexian Wei, Deqiang He, Zhenzhen Jin, Bin Liu, Sheng Shan, Yanjun Chen, Jian Miao

IEEE Trans. Intell. Transp. Syst., June, 2023

Fault diagnosis of bearing based on refined piecewise composite multivariate multiscale fuzzy entropy.

Zhenzhen Jin, Yulong Xiao, Deqiang He, Zexian Wei, Yingqian Sun, Weifeng Yang

Digit. Signal Process., March, 2023

Few-shot fault diagnosis of turnout switch machine based on semi-supervised weighted prototypical network.

Zhenpeng Lao, Deqiang He, Zhenzhen Jin, Chang Liu, Hui Shang, Yiling He

Knowl. Based Syst., 2023

Blockchain-Empowered Space-Air-Ground Integrated Networks for Remote Internet of Things.

Wenchao Liu, Junyu Wang, Huijun Xing, Zhenzhen Jin, Xuhui Zhang, Yanyan Shen

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

AoI-Aware UAV-Enabled Marine MEC Networks with Integrated Sensing, Computation, and Communication.

Wenchao Liu, Zhenzhen Jin, Xuhui Zhang, Weilin Zang, Shuqiang Wang, Yanyan Shen

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

2022

Intelligent fault diagnosis of train axle box bearing based on parameter optimization VMD and improved DBN.

Zhenzhen Jin, Deqiang He, Zexian Wei

Eng. Appl. Artif. Intell., 2022

Fault diagnosis of train rotating parts based on multi-objective VMD optimization and ensemble learning.

Zhenzhen Jin, Deqiang He, Rui Ma, Xueyan Zou, Yanjun Chen, Sheng Shan

Digit. Signal Process., 2022

Cybertwin-Driven Multi-Intelligent Reflecting Surfaces aided Vehicular Edge Computing Leveraged by Deep Reinforcement Learning.

Xuhui Zhang, Huijun Xing, Weilin Zang, Zhenzhen Jin, Yanyan Shen

Proceedings of the 96th Vehicular Technology Conference, 2022