Search Results - "Li, Wanxiang"

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  1. 1

    Genetic characteristics of chromosomally integrated carbapenemase gene (bla NDM-1 ) in isolates of Proteus mirabilis by Wang, Qingyu, Dong, Kai, Liu, Xudong, Li, Wanxiang, Bian, Qianyu

    Published in BMC microbiology (19-06-2024)
    “…This study aims to conduct an in-depth genomic analysis of a carbapenem-resistant Proteus mirabilis strain to uncover the distribution and mechanisms of its…”
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    Journal Article
  2. 2

    Virus infection triggers widespread silencing of host genes by a distinct class of endogenous siRNAs in Arabidopsis by Cao, Mengji, Du, Peng, Wang, Xianbing, Yu, Yun-Qi, Qiu, Yan-Hong, Li, Wanxiang, Gal-On, Amit, Zhou, Changyong, Li, Yi, Ding, Shou-Wei

    “…Significance RNAi-mediated antiviral immunity directs specific virus resistance by virus-derived siRNAs in contrast to broad-spectrum resistance triggered in…”
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  3. 3

    An Intelligent Fault Diagnosis Method of Multi-Scale Deep Feature Fusion Based on Information Entropy by Shang, Zhiwu, Li, Wanxiang, Gao, Maosheng, Liu, Xia, Yu, Yan

    Published in Chinese journal of mechanical engineering (01-12-2021)
    “…For a single-structure deep learning fault diagnosis model, its disadvantages are an insufficient feature extraction and weak fault classification capability…”
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  4. 4

    Transition characteristics of the dynamic behavior of a vehicle wheel-rail vibro-impact system by Jin, Yang, Li, Wanxiang, Zhang, Hongbing

    Published in Electronic research archive (01-11-2023)
    “…A two-degree-of-freedom vehicle wheel-rail impact vibration system model is developed, and the equivalent impact stiffness and damping of the rail are fitted…”
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  5. 5

    FHA domain proteins DAWDLE in Arabidopsis and SNIP1 in humans act in small RNA biogenesis by Yu, Bin, Bi, Liu, Zheng, Binglian, Ji, Lijuan, Chevalier, David, Agarwal, Manu, Ramachandran, Vanitharani, Li, Wanxiang, Lagrange, Thierry, Walker, John C, Chen, Xuemei

    “…Proteins containing the forkhead-associated domain (FHA) are known to act in biological processes such as DNA damage repair, protein degradation, and signal…”
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  6. 6

    Machine remaining life prediction based on multi-layer self-attention and temporal convolution network by Shang, Zhiwu, Zhang, Baoren, Li, Wanxiang, Qian, Shiqi, Zhang, Jie

    Published in Complex & intelligent systems (01-04-2022)
    “…Convolution neural network (CNN) has been widely used in the field of remaining useful life (RUL) prediction. However, the CNN-based RUL prediction methods…”
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  7. 7

    Nature of Attractive Multiplayer Games: Case Study on China’s Most Popular Card Game—DouDiZhu by Gao, Yuexian, Li, Wanxiang, Xiao, Yuhao, Khalid, Mohd Nor Akmal, Iida, Hiroyuki

    Published in Information (Basel) (01-03-2020)
    “…DouDiZhu, a multiplayer game with incomplete information, is the most popular card game in China. Although there are many DouDiZhu card games in the world, the…”
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  8. 8

    Arabidopsis ENOR3 regulates RNAi-mediated antiviral defense by Gao, Hua, Yang, Mai, Yang, Haitao, Qin, Yue, Zhu, Biyun, Xu, Gang, Xie, Chengyuan, Wu, Dewei, Zhang, Xiaolin, Li, Wanxiang, Yan, Jianbin, Song, Susheng, Qi, Tiancong, Ding, Shou-Wei, Xie, Daoxin

    Published in Journal of genetics and genomics (20-01-2018)
    “…Viruses can infect host plants to cause severe diseases and substantial agricultural loss, while plants have evolved RNA interference (RNAi) strategy to defend…”
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  9. 9

    High precision wide range online chemical oxygen demand measurement method based on ultraviolet absorption spectroscopy and full-spectrum data analysis by Wang, Chenxi, Li, Wanxiang, Huang, Meizhen

    Published in Sensors and actuators. B, Chemical (01-12-2019)
    “…•A novel method of automatic selecting calibration wavelengths according to COD value is proposed.•Full-spectrum data analysis combining with SG and OSC…”
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  10. 10

    Spatial intensity distribution model of fluorescence emission considering the spatial attenuation effect of excitation light by Fu, Yuchao, Huang, Meizhen, Li, Wanxiang

    Published in Optics express (01-03-2021)
    “…The fluorescence quantitative analysis method of a solution is widely applied in chemical analysis, clinical medicine testing, environmental monitoring, food…”
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  11. 11

    Remaining useful life prediction based on transfer multi-stage shrinkage attention temporal convolutional network under variable working conditions by Li, Wanxiang, Shang, Zhiwu, Gao, Maosheng, Qian, Shiqi, Feng, Zehua

    Published in Reliability engineering & system safety (01-10-2022)
    “…•The shrinkage attention module can remove the interference of irrelevant information.•The MSATCN block is proposed to capture the degenerate information-rich…”
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  12. 12

    A novel remaining useful life prediction based on transfer hybrid deep neural network under variable working conditions by Xia, Yunzhong, Li, Wanxiang, Ren, Weijia

    Published in Physica scripta (01-10-2024)
    “…Abstract Deep learning-based methods for remaining useful life prediction (RUL) usually require the precondition that the training and test data obey the same…”
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  13. 13

    Ultrawide Range of Concentration Measurement Assisted by Fluorescence Intensity Distribution Imaging by Fu, Yuchao, Li, Wanxiang, Huang, Meizhen

    “…When performing fluorescence measurement on a fluorescent analyte over an ultrawide concentration range, the fluorescence intensity distribution is affected by…”
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  14. 14

    Intelligent fault diagnosis of partial deep transfer based on multi-representation structural intraclass compact and double-aligned domain adaptation by Li, Wanxiang, Shang, Zhiwu, Gao, Maosheng, Liu, Fei, Liu, Hu

    Published in Mechanical systems and signal processing (15-08-2023)
    “…•Construct Gabor feature extractor and MRSN to enhance feature learning.•Intra-class compact constraint is proposed to improve the agglomeration of…”
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  15. 15

    Open-set domain adaptive fault diagnosis based on supervised contrastive learning and a complementary weighted dual adversarial network by Pan, Cailu, Shang, Zhiwu, Tang, Lutai, Cheng, Hongchuan, Li, Wanxiang

    Published in Mechanical systems and signal processing (01-01-2025)
    “…In an actual industrial environment, the complex working environment of mechanical equipment may lead to new faults in the target domain, called the open-set…”
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  16. 16

    A novel unsupervised anomaly detection method for rotating machinery based on memory augmented temporal convolutional autoencoder by Li, Wanxiang, Shang, Zhiwu, Zhang, Jie, Gao, Maosheng, Qian, Shiqi

    “…During the operation of rotating machinery, the occurrence of unknown fault types makes it impossible for the artificial intelligence-based fault diagnosis…”
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  17. 17

    Optimization of rolling bearing dynamic model based on improved golden jackal optimization algorithm and sensitive feature fusion by Pan, Cailu, Shang, Zhiwu, Liu, Fei, Li, Wanxiang, Gao, Maosheng

    Published in Mechanical systems and signal processing (01-12-2023)
    “…Some simplified modeling parameters in the traditional rolling bearing dynamics model led to poor consistency between the simulated and measured vibration…”
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  18. 18

    High-throughput fluorescence quantification method based on inner filter effect and fluorescence imaging analysis by Li, Wanxiang, Fu, Yuchao, Liu, Tianyuan, Li, Haochen, Huang, Meizhen

    “…[Display omitted] •Fluorescence distribution along with light path based on spatial micro-element is derived.•A quantification method based on IFE and…”
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  19. 19

    A novel intelligent fault diagnosis method of rotating machinery based on signal-to-image mapping and deep Gabor convolutional adaptive pooling network by Li, Wanxiang, Shang, Zhiwu, Qian, Shiqi, Zhang, Baoren, Zhang, Jie, Gao, Maosheng

    Published in Expert systems with applications (01-11-2022)
    “…•The VSI refines the features to expand the distinction between different faults.•The GaCF guides the model to extract multi-scale and multi-directional…”
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  20. 20

    A novel deep autoencoder and hyperparametric adaptive learning for imbalance intelligent fault diagnosis of rotating machinery by Li, Wanxiang, Shang, Zhiwu, Gao, Maosheng, Qian, Shiqi, Zhang, Baoren, Zhang, Jie

    “…•The ORJ data augmentation strategy is designed to augmentation training samples.•A deep SAE-LNC is proposed to improve the ability of capturing nonlinear…”
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