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2020 – today
- 2023
[j18]Weiwei Qian, Jian Zhou, Songtao Shou:
Exploration of m6A methylation regulators as epigenetic targets for immunotherapy in advanced sepsis. BMC Bioinform. 24(1): 257 (2023)- [j17]Jiantao Lu
, Weiwei Qian, Qitao Yin, Kun Xu, Shunming Li:
An Improved Underdetermined Blind Source Separation Method for Insufficiently Sparse Sources. Circuits Syst. Signal Process. 42(12): 7615-7639 (2023) - [j16]Litong Zhang, Yu Guo, Weiwei Qian, Weili Wang, Daoyuan Liu, Sai Liu:
Modelling and online training method for digital twin workshop. Int. J. Prod. Res. 61(12): 3943-3962 (2023) - [j15]Weiguang Fang, Hao Zhang, Weiwei Qian, Yu Guo, Shaoxun Li, Zeqing Liu, Chenning Liu, Dongpao Hong:
An Adaptive Job Shop Scheduling Mechanism for Disturbances by Running Reinforcement Learning in Digital Twin Environment. J. Comput. Inf. Sci. Eng. 23(5) (2023) - [j14]Weiwei Qian, Yu Guo, Hao Zhang, Shaohua Huang, Litong Zhang, Hailang Zhou, Weiguang Fang, Shanshan Zha:
Digital twin driven production progress prediction for discrete manufacturing workshop. Robotics Comput. Integr. Manuf. 80: 102456 (2023) - [j13]Zhenyu Lu, Zhenliang Cai, Weiwei Qian, Dong Zhou:
Intelligent Fault Diagnosis of Bearings With Both Working Condition Variation and Target Data Scarcity. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - 2022
- [j12]Haitao Wang, Dong Zhou, Minxiang Wei, Weiwei Qian:
Eliminating the Resonance Interference for an Inductive Speed Sensor Subjected to an Early-Time HEMP Field. IEEE Access 10: 85986-85994 (2022) - [j11]Weiwei Qian, Shunming Li, Jiantao Lu:
Adaptive nearest neighbor reconstruction with deep contractive sparse filtering for fault diagnosis of roller bearings. Eng. Appl. Artif. Intell. 111: 104749 (2022) - [j10]Weiwei Qian, Shunming Li, Jiantao Lu:
Deep Sparse Topology Network for Robust Bearing Fault Diagnosis by Maximizing Prior Knowledge Functions. IEEE Trans. Ind. Informatics 18(12): 8540-8550 (2022) - 2021
- [j9]Weiwei Qian, Shunming Li, Tong Yao, Kun Xu:
Discriminative feature-based adaptive distribution alignment (DFADA) for rotating machine fault diagnosis under variable working conditions. Appl. Soft Comput. 99: 106886 (2021) - [j8]Weiwei Qian, Yu Guo, Kai Cui, Pengxing Wu, Weiguang Fang, Daoyuan Liu:
Multidimensional Data Modeling and Model Validation for Digital Twin Workshop. J. Comput. Inf. Sci. Eng. 21(3) (2021) - 2020
- [j7]Youyuan Wang, Weiwei Qian, Lu Zhao:
Research on product design knowledge organisation model based on granularity principle. Int. J. Comput. Sci. Eng. 21(2): 210-218 (2020)
2010 – 2019
- 2019
- [j6]Jinrui Wang, Shunming Li, Zenghui An, Xingxing Jiang, Weiwei Qian, Shanshan Ji:
Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines. Neurocomputing 329: 53-65 (2019) - [j5]Weiwei Qian, Shunming Li, Xingxing Jiang:
Deep transfer network for rotating machine fault analysis. Pattern Recognit. 96 (2019) - [j4]Kai Tan, Jin Chen, Weiwei Qian, Weiguo Zhang, Fang Shen, Xiaojun Cheng:
Intensity Data Correction for Long-Range Terrestrial Laser Scanners: A Case Study of Target Differentiation in an Intertidal Zone. Remote. Sens. 11(3): 331 (2019) - 2018
- [j3]Weiwei Qian, Shunming Li, Jinrui Wang:
A New Transfer Learning Method and its Application on Rotating Machine Fault Diagnosis Under Variant Working Conditions. IEEE Access 6: 69907-69917 (2018) - [j2]Weiwei Qian, Shunming Li, Jinrui Wang, Qijun Wu:
A novel supervised sparse feature extraction method and its application on rotating machine fault diagnosis. Neurocomputing 320: 129-140 (2018) - 2016
- [c1]Leen Zhang, Weiwei Qian, Zhenhua Zhang, Youyuan Wang:
Research on Knowledge Demand Information Acquisition for Product Design. CIS 2016: 677-680
2000 – 2009
- 2001
- [j1]Junliang Xue, Xiaoqing Ding, Changsong Liu, Rui Zhang, Weiwei Qian:
Location and interpretation of destination addresses on handwritten Chinese envelopes. Pattern Recognit. Lett. 22(6/7): 639-656 (2001)
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