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ORCIDWenhe Chen
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2020 – today
- 2024
[j14]Hanting Zhou, Wenhe Chen, Jing Liu, Longsheng Cheng
, Min Xia:
Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network. J. Intell. Manuf. 35(7): 3523-3542 (2024)- [j13]Hanting Zhou, Wenhe Chen, Peirui Qiao, Longsheng Cheng, Min Xia:
Reliable fault diagnosis using evidential aggregated residual network under varying working conditions and noise interference. Knowl. Based Syst. 286: 111407 (2024) - [j12]Ping Li, Zhipeng Chang, Wenhe Chen:
Risk state evaluation model for China's food import using G1-LS and variable weight SPA based on bottom-line thinking. Kybernetes 53(9): 2749-2774 (2024) - 2023
- [j11]Wenhe Chen, Hanting Zhou, Longsheng Cheng, Jing Liu, Min Xia:
Condition monitoring of wind turbine using novel deep learning method and dynamic kernel principal components Mahalanobis distance. Eng. Appl. Artif. Intell. 125: 106757 (2023) - [j10]Hanting Zhou, Wenhe Chen, Changqing Shen, Longsheng Cheng, Min Xia:
Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN. Int. J. Prod. Res. 61(23): 8252-8264 (2023) - [j9]Hanting Zhou, Wen-He Chen, Longsheng Cheng, Jing Liu, Min Xia:
Trustworthy Fault Diagnosis With Uncertainty Estimation Through Evidential Convolutional Neural Networks. IEEE Trans. Ind. Informatics 19(11): 10842-10852 (2023) - [j8]Wenhe Chen, Hanting Zhou, Longsheng Cheng, Min Xia:
Condition Monitoring and Anomaly Detection of Wind Turbines Using Temporal Convolutional Informer and Robust Dynamic Mahalanobis Distance. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [j7]Hanting Zhou, Wenhe Chen, Longsheng Cheng, Darren Williams, Clarence W. de Silva, Min Xia:
Reliable and Intelligent Fault Diagnosis With Evidential VGG Neural Networks. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - 2022
- [j6]Wenhe Chen, Yuan Chai, Miao Qi, Hui Sun, Qi Pu, Jun Kong, Caixia Zheng:
Bottom-up improved multistage temporal convolutional network for action segmentation. Appl. Intell. 52(12): 14053-14069 (2022) - [j5]Wen-He Chen, Longsheng Cheng, Zhi-Peng Chang, Hanting Zhou, Qi-Feng Yao, Zhai-Ming Peng, Li-Qun Fu, Zong-Xiang Chen:
Interval Prediction of Photovoltaic Power Using Improved NARX Network and Density Peak Clustering Based on Kernel Mahalanobis Distance. Complex. 2022: 8169510:1-8169510:22 (2022) - [j4]Wenhe Chen, Hui Xu, Chao Zhu, Xiaoli Liu, Yinghua Lu, Caixia Zheng, Jun Kong:
Gaze Estimation via the Joint Modeling of Multiple Cues. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1390-1402 (2022) - 2021
- [j3]Yujin Zhao, Yihan Sun, Wenhe Chen, Yanping Zhao, Xiaoliang Liu, Yongfei Bai:
The Potential of Mapping Grassland Plant Diversity with the Links among Spectral Diversity, Functional Trait Diversity, and Species Diversity. Remote. Sens. 13(15): 3034 (2021) - 2020
- [j2]Zhipeng Chang, Wenhe Chen, Yuping Gu, Haoyue Xu:
Mahalanobis-Taguchi System for Symbolic Interval Data Based on Kernel Mahalanobis Distance. IEEE Access 8: 20428-20438 (2020)
2010 – 2019
- 2016
- [j1]Cailin Li, Langming Zhou, Wenhe Chen:
Automatic Pose Estimation of Uncalibrated Multi-View Images Based on a Planar Object with a Predefined Contour Model. ISPRS Int. J. Geo Inf. 5(12): 244 (2016)
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