Zhenzhen Jin
Orcid: 0000-0001-5003-811X
According to our database1,
Zhenzhen Jin
authored at least 14 papers
between 2022 and 2024.
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Bibliography
2024
Simul. Model. Pract. Theory, January, 2024
Signal Image Video Process., 2024
Few-shot fault diagnosis of turnout switch machine based on flexible semi-supervised meta-learning network.
Knowl. Based Syst., 2024
Learning spatial-temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit.
Expert Syst. Appl., 2024
Welding defect detection based on phased array images and two-stage segmentation strategy.
Adv. Eng. Informatics, 2024
2023
Intelligent fault diagnosis and health stage division of bearing based on tensor clustering and feature space denoising.
Appl. Intell., November, 2023
Density-Based Affinity Propagation Tensor Clustering for Intelligent Fault Diagnosis of Train Bogie Bearing.
IEEE Trans. Intell. Transp. Syst., June, 2023
Fault diagnosis of bearing based on refined piecewise composite multivariate multiscale fuzzy entropy.
Digit. Signal Process., March, 2023
Few-shot fault diagnosis of turnout switch machine based on semi-supervised weighted prototypical network.
Knowl. Based Syst., 2023
Blockchain-Empowered Space-Air-Ground Integrated Networks for Remote Internet of Things.
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.
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.
Eng. Appl. Artif. Intell., 2022
Fault diagnosis of train rotating parts based on multi-objective VMD optimization and ensemble learning.
Digit. Signal Process., 2022
Cybertwin-Driven Multi-Intelligent Reflecting Surfaces aided Vehicular Edge Computing Leveraged by Deep Reinforcement Learning.
Proceedings of the 96th Vehicular Technology Conference, 2022