Search Results - "You, Yiting"

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  1. 1

    VWM-DCRNN: A Method of Combining Signal Processing With Deep Learning for Fault Diagnosis in Single-Phase PWM Rectifier by Qin, Na, Wang, Tianwei, Huang, Deqing, You, Yiting, Zhang, Yiming

    Published in IEEE transactions on power electronics (01-07-2023)
    “…Based on variational mode decomposition and dual model of convolutional recurrent neural network (VMD-DCRNN), a novel diagnosis method is proposed to discover…”
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    Journal Article
  2. 2

    Generalized Zero-Shot Learning for Fault Diagnosis in High-Speed Train Bogies Based on Enhanced Diffusion Generative Models by Qin, Na, Yin, Yirui, Huang, Deqing, You, Yiting, Hou, Ranyang

    Published in IEEE transactions on reliability (18-09-2024)
    “…In the context of high-speed trains (HST) bogie fault diagnosis, most existing state-of-the-art approaches struggle to effectively identify engineering fault…”
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    Journal Article
  3. 3

    AttGAN-DPCNN: An Extremely Imbalanced Fault Diagnosis Method for Complex Signals From Multiple Sensors by Qin, Na, You, Yiting, Huang, Deqing, Jia, Xinming, Zhang, Yiming, Du, Jiahao, Wang, Tianwei

    Published in IEEE sensors journal (15-11-2024)
    “…The intelligent fault diagnosis in engineering scenarios frequently struggles to achieve the desired results due to the presence of data imbalance. Meanwhile,…”
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    Journal Article
  4. 4

    A Multidimensional Feature Fusion Network for Fault Diagnosis of High-Speed Train Bogie Under Imbalanced Data by You, Yiting, Ma, Junjie, Wang, Tianwei, Chen, Yuan, Qin, Na

    Published in 2023 42nd Chinese Control Conference (CCC) (24-07-2023)
    “…Ensuring the normal operation of high-speed train (HST) bogie is of great significance for the safe operation and maintenance of HSTs. With the development of…”
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    Conference Proceeding
  5. 5

    Propranolol vs. steroids in the treatment of infantile hemangiomas: A meta‑analysis by You, Yiting, Li, Yadong, Xiao, Yiting, Zhang, Jinsong

    Published in Molecular and clinical oncology (01-08-2021)
    “…Infantile hemangioma (IH) is a common disease, and drug therapy is the most common treatment method. Clinically, steroids have long been used as first-line…”
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    Journal Article
  6. 6

    Coordination-Driven Tetragonal Prismatic Cage and the Investigation on Host–Guest Complexation by Li, Miao, Shi, Yu-Qi, Gan, Xinye, Su, Longbin, Liang, Jialin, Wu, Huiqi, You, Yiting, Che, Meizi, Su, Peiyang, Wu, Tun, Zhang, Zhe, Zhang, Wei, Yao, Liao-Yuan, Wang, Pingshan, Xie, Ting-Zheng

    Published in Inorganic chemistry (20-03-2023)
    “…A coordination-driven host has been reported to encapsulate guests by noncovalent interactions. Herein, we present the design and synthesis of a new type of…”
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    Journal Article
  7. 7

    Prediction of uterine fibroid outcomes based on DenseNet and multiple MRI sequences by Chen, Yuan, Huang, Deqing, Qin, Na, Yin, Zijie, You, Yiting

    “…High-intensity focused ultrasound (HIFU) is a surgical method commonly used to treat uterine fibroids, but not all patients are suitable for this treatment…”
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    Conference Proceeding
  8. 8

    Generalized Zero-Shot Learning Fault Diagnosis for Bogies of High-speed Trains based on Improved Generative Adversarial Networks by Yin, Yirui, Ma, Junjie, You, Yiting, Hou, Ranyang, Qin, Na, Huang, Deqing

    “…In recent years, data-driven methods have developed rapidly in the realm of fault diagnosis, but in the face of engineering fault types without historical…”
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    Conference Proceeding
  9. 9

    Federated Transfer Learning for Fault Diagnosis of High-speed Train Bogie With Data Security and Training Optimization by Du, Jiahao, Cheng, Junqiang, You, Yiting, Wang, Tianwei, Qin, Na, Huang, Deqing

    “…In the field of high-speed train fault diagnosis, great achievements have been made in recent years. Although it has achieved considerable accuracy, most of…”
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    Conference Proceeding
  10. 10

    DenseNet Extension under the Generalized Zero-shot Learning Framework: A Novel strategy for Bogie Fault Diagnosis of High-speed Train by Zhang, Yiming, Hu, Yuanjiang, Yin, Yirui, You, Yiting, Qin, Na, Huang, Deqing

    “…In the field of deep learning, the quality and quantity of data directly affect the effectiveness of models. However, the lack of historical samples on target…”
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    Conference Proceeding
  11. 11

    H_{\infty}$ filter for flexure deformation and lever arm effect compensation in M/S INS integration by Liu, Xixiang, Xu, Xiaosu, Wang, Lihui, Li, Yinyin, Liu, Yiting

    “…On ship, especially on large ship, the flexure deformation between Master (M)/Slave (S) Inertial Navigation System (INS) is a key factor which determines the…”
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    Journal Article
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