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2020 – today
- 2024
[j15]Yufei Shen
, Wenxing Zhou:
Classification and Regression of Pinhole Corrosions on Pipelines Based on Magnetic Flux Leakage Signals Using Convolutional Neural Networks. Algorithms 17(8): 347 (2024)- [j14]Z. He, Wenxing Zhou:
Development of machine learning-based burst capacity models for pipelines containing dent-gouges with synthetic full-scale burst test data generated using tabular generative adversarial network. Eng. Appl. Artif. Intell. 133: 108090 (2024) - [j13]Xinshuo Li, Wenxing Zhou, Jiancheng Yin, Zhen Zhang, Gang Huang, Yunlong Sheng, Pinghua Li, Xuye Zhuang:
Convolutional variational autoencoder and multi-scale attention convolutional neural network based diagnostics on filament current sensors for mass spectrometers. Eng. Appl. Artif. Intell. 138: 109443 (2024) - [j12]Yufei Shen, Wenxing Zhou:
A comparison of onshore oil and gas transmission pipeline incident statistics in Canada and the United States. Int. J. Crit. Infrastructure Prot. 45: 100679 (2024) - [j11]Rui Wu, Wei Zhou, Zhenhua Fan, Wenxing Zhou, Yongji Xiong:
Analysis of the Curing Deformation of Polyurethane Composite Solar Cell Bezels. Symmetry 16(4): 463 (2024) - 2023
- [j10]Lei Tan, Shutong Wu, Wenxing Zhou, Xiaolin Huang:
Weighted neural tangent kernel: a generalized and improved network-induced kernel. Mach. Learn. 112(8): 2871-2901 (2023) - 2022
- [j9]Z. He, Wenxing Zhou:
Generation of synthetic full-scale burst test data for corroded pipelines using the tabular generative adversarial network. Eng. Appl. Artif. Intell. 115: 105308 (2022) - [j8]Wenxing Zhou, Ruoyu Zhang, Guangyi Chen, Wen Wu:
Integrated Sensing and Communication Waveform Design: A Survey. IEEE Open J. Commun. Soc. 3: 1930-1949 (2022) - 2021
- [j7]W. Xiang, Wenxing Zhou:
Bayesian network model for predicting probability of third-party damage to underground pipelines and learning model parameters from incomplete datasets. Reliab. Eng. Syst. Saf. 205: 107262 (2021) - 2020
- [c1]Wenxing Zhou, Yi Sun:
Children's Emotion Recognition Based on Convolutional Neural Network. WSSE 2020: 1-5
2010 – 2019
- 2019
- [j6]Zhiqiang Zhang, Qingyu Yang, Wenxing Zhou:
A Feature Extraction Method Based on Sparse Filtering With Local Structure Preserved and Its Applications to Bearing Fault Diagnosis. IEEE Access 7: 160559-160572 (2019) - 2018
- [j5]Changqing Gong, Wenxing Zhou:
Importance sampling-based system reliability analysis of corroding pipelines considering multiple failure modes. Reliab. Eng. Syst. Saf. 169: 199-208 (2018) - 2017
- [j4]Wenxing Zhou, W. Xiang, Han-Ping Hong:
Sensitivity of system reliability of corroding pipelines to modeling of stochastic growth of corrosion defects. Reliab. Eng. Syst. Saf. 167: 428-438 (2017) - 2015
- [j3]Hao Qin, Wenxing Zhou, Shenwei Zhang:
Bayesian inferences of generation and growth of corrosion defects on energy pipelines based on imperfect inspection data. Reliab. Eng. Syst. Saf. 144: 334-342 (2015) - 2014
- [j2]Han-Ping Hong, Wenxing Zhou, Shenwei Zhang, W. Ye:
Optimal condition-based maintenance decisions for systems with dependent stochastic degradation of components. Reliab. Eng. Syst. Saf. 121: 276-288 (2014) - [j1]Shenwei Zhang, Wenxing Zhou:
Bayesian dynamic linear model for growth of corrosion defects on energy pipelines. Reliab. Eng. Syst. Saf. 128: 24-31 (2014)
Coauthor Index
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