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Hongquan Jiang
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2020 – today
- 2024
- [j13]Huyue Cheng, Hongquan Jiang, Haobo Yan, Wanjun Zhang:
Contrastive learning of defect prototypes under natural language supervision. Adv. Eng. Informatics 62: 102749 (2024) - [j12]Deyan Yang, Hongquan Jiang, Song Ai, Tianlun Yang, Zelin Zhi, Deqiang Jing, Jianmin Gao, Kun Yue, Huyue Cheng, Yongjun Xu:
Detection method for weld defects in time-of-flight diffraction images based on multi-image fusion and feature hybrid enhancement. Eng. Appl. Artif. Intell. 138: 109442 (2024) - [j11]Hongquan Jiang, Xinguang Zhang, Chenyue Tao, Song Ai, Yonghong Wang, Jicheng He, He Yang, Deyan Yang:
Casting defect region segmentation method based on dual-channel encoding-fusion decoding network. Expert Syst. Appl. 247: 123254 (2024) - [j10]Hongquan Jiang, Deyan Yang, Zelin Zhi, Qiangzheng Jing, Jianmin Gao, Chenyue Tao, Zhixiang Cheng:
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network. J. Intell. Manuf. 35(1): 217-233 (2024) - 2023
- [j9]Zelin Zhi, Hongquan Jiang, Deyan Yang, Jianmin Gao, Quansheng Wang, Xiaoqiao Wang, Jingren Wang, Yongxiang Wu:
An end-to-end welding defect detection approach based on titanium alloy time-of-flight diffraction images. J. Intell. Manuf. 34(4): 1895-1909 (2023) - 2021
- [j8]Lu Yang, Hongquan Jiang:
Weld defect classification in radiographic images using unified deep neural network with multi-level features. J. Intell. Manuf. 32(2): 459-469 (2021) - 2020
- [j7]Rongxi Wang, Caiyuan Peng, Jianmin Gao, Zhiyong Gao, Hongquan Jiang:
A dilated convolution network-based LSTM model for multi-step prediction of chaotic time series. Comput. Appl. Math. 39(1) (2020)
2010 – 2019
- 2019
- [j6]Zeming Liang, Jianmin Gao, Hongquan Jiang, Xu Gao, Zhiyong Gao, Rongxi Wang:
A Degradation Degree Considered Method for Remaining Useful Life Prediction Based on Similarity. Comput. Sci. Eng. 21(1): 50-64 (2019) - [j5]Hongquan Jiang, Rongxi Wang, Zhiyong Gao, Jianmin Gao, Hongye Wang:
Classification of weld defects based on the analytical hierarchy process and Dempster-Shafer evidence theory. J. Intell. Manuf. 30(4): 2013-2024 (2019) - [c3]Hongquan Jiang, Jianmin Gao, Fengshe Xia, Xiaoming Zhang, Tao Zhou, Dongcheng Liu:
Fault Recognition Technology for Pipeline Systems Based on Multi-feature Fusion of Monitoring Data. ICPHM 2019: 1-7 - 2018
- [j4]Zeming Liang, Jianmin Gao, Hongquan Jiang, Xu Gao, Zhiyong Gao, Rongxi Wang:
A similarity-based method for remaining useful life prediction based on operational reliability. Appl. Intell. 48(9): 2983-2995 (2018) - 2017
- [j3]Rongxi Wang, Jianmin Gao, Zhiyong Gao, Xu Gao, Hongquan Jiang, Zeming Liang:
Interaction analysis-based information modeling of complex electromechanical systems in the processing industry. J. Syst. Control. Eng. 231(8): 638-651 (2017) - [j2]Hongquan Jiang, Rongxi Wang, Jianmin Gao, Zhiyong Gao, Xu Gao:
Evidence fusion-based framework for condition evaluation of complex electromechanical system in process industry. Knowl. Based Syst. 124: 176-187 (2017) - [c2]Zhiyong Gao, Jianmin Gao, Rongxi Wang, Yanjie Liang, Hongquan Jiang:
A Methodology for Accuracy Assessment of Information Quality in the Processing Production System. ICIQ 2017 - [c1]Rongxi Wang, Jianmin Gao, Zhiyong Gao, Yanjie Liang, Hongquan Jiang:
Information Transfer-Based Root Cause Tracing for Information Quality Problems of Complex Electromechanical Systems in Process Industry. ICIQ 2017 - 2011
- [j1]Li-Juan Li, Jianmin Gao, Kun Chen, Hong-Quan Jiang:
The identification of irrationally allocated resources in business process based on network centrality analysis. Int. J. Comput. Integr. Manuf. 24(8): 748-755 (2011)
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last updated on 2024-11-07 20:34 CET by the dblp team
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