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Xianhui Yin
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2020 – today
- 2023
- [j6]Yuan Gao
, Xianhui Yin, Zhen He
A deep learning process anomaly detection approach with representative latent features for low discriminative and insufficient abnormal data. Comput. Ind. Eng. 176: 108936 (2023) - 2022
- [j5]Xueqing Wang, Xianhui Yin, Zhen He, Zixian Liu, Yuan Gao
An intelligent and multi-channel deep feature enhanced framework for predicting difficult-to-measure CTQ. Comput. Ind. Eng. 169: 108300 (2022) - 2020
- [j4]Xianhui Yin, Zhanwen Niu, Zhen He, Zhaojun (Steven) Li, Dong-hee Lee:
Ensemble deep learning based semi-supervised soft sensor modeling method and its application on quality prediction for coal preparation process. Adv. Eng. Informatics 46: 101136 (2020) - [j3]Xianhui Yin, Zhanwen Niu, Zhen He, Zhaojun (Steven) Li, Donghee Lee
An integrated computational intelligence technique based operating parameters optimization scheme for quality improvement oriented process-manufacturing system. Comput. Ind. Eng. 140: 106284 (2020) - [j2]Cheng-Geng Huang
An Enhanced Deep Learning-Based Fusion Prognostic Method for RUL Prediction. IEEE Trans. Reliab. 69(3): 1097-1109 (2020)
2010 – 2019
- 2016
- [j1]Qinghe Yuan, Xianhui Yin, Wei Yan, Yanyan Tan, Zhaojun Li
A new approach for the capability analysis based on measurement system analysis: a case study for coal quality detection equipment. Int. J. Appl. Decis. Sci. 9(1): 17-38 (2016)
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