Search Results - "Chengliang Liu"

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  1. 1

    Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network by Lin, Ke, Gong, Liang, Huang, Yixiang, Liu, Chengliang, Pan, Junsong

    Published in Frontiers in plant science (15-02-2019)
    “…Powdery mildew is a common disease in plants, and it is also one of the main diseases in the middle and final stages of cucumber ( ). Powdery mildew on plant…”
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    Journal Article
  2. 2

    Adaptive Transmission Optimization in SDN-Based Industrial Internet of Things With Edge Computing by Xiaomin Li, Di Li, Jiafu Wan, Chengliang Liu, Imran, Muhammad

    Published in IEEE internet of things journal (01-06-2018)
    “…In recent years, smart factory in the context of Industry 4.0 and industrial Internet of Things (IIoT) has become a hot topic for both academia and industry…”
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    Journal Article
  3. 3

    A Manufacturing Big Data Solution for Active Preventive Maintenance by Jiafu Wan, Shenglong Tang, Di Li, Shiyong Wang, Chengliang Liu, Abbas, Haider, Vasilakos, Athanasios V.

    “…Industry 4.0 has become more popular due to recent developments in cyber-physical systems, big data, cloud computing, and industrial wireless networks…”
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  4. 4

    Robust Tomato Recognition for Robotic Harvesting Using Feature Images Fusion by Zhao, Yuanshen, Gong, Liang, Huang, Yixiang, Liu, Chengliang

    Published in Sensors (Basel, Switzerland) (29-01-2016)
    “…Automatic recognition of mature fruits in a complex agricultural environment is still a challenge for an autonomous harvesting robot due to various…”
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  5. 5

    Intelligent Fault Diagnosis of Diesel Engines via Extreme Gradient Boosting and High-Accuracy Time-Frequency Information of Vibration Signals by Tao, Jianfeng, Qin, Chengjin, Li, Weixing, Liu, Chengliang

    Published in Sensors (Basel, Switzerland) (25-07-2019)
    “…Accurate and timely misfire fault diagnosis is of vital significance for diesel engines. However, existing algorithms are prone to fall into model over-fitting…”
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  6. 6

    Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review by Zhang, Baohua, Huang, Wenqian, Li, Jiangbo, Zhao, Chunjiang, Fan, Shuxiang, Wu, Jitao, Liu, Chengliang

    Published in Food research international (01-08-2014)
    “…Appearance is a very important sensory quality attribute of fruits and vegetables, which can influence not only their market value, consumer's preferences and…”
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  7. 7

    Reconfigurable Smart Factory for Drug Packing in Healthcare Industry 4.0 by Wan, Jiafu, Tang, Shenglong, Li, Di, Imran, Muhammad, Zhang, Chunhua, Liu, Chengliang, Pang, Zhibo

    “…Industry 4.0, which exploits cyber-physical systems and represents digital transformation of manufacturing, is deeply affecting healthcare as well as other…”
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  8. 8

    Capped piston: A promising design to reduce compressibility effects, pressure ripple and cavitation for high-speed and high-pressure axial piston pumps by Chao, Qun, Xu, Zi, Tao, Jianfeng, Liu, Chengliang

    Published in Alexandria engineering journal (01-01-2023)
    “…Raising rotational speed and operating pressure is an effective way to increase the power density of axial piston pumps. However, the axial piston pump with…”
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    Journal Article
  9. 9

    Knowledge Reasoning with Semantic Data for Real-Time Data Processing in Smart Factory by Wang, Shiyong, Wan, Jiafu, Li, Di, Liu, Chengliang

    Published in Sensors (Basel, Switzerland) (06-02-2018)
    “…The application of high-bandwidth networks and cloud computing in manufacturing systems will be followed by mass data. Industrial data analysis plays important…”
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  10. 10

    Spatial heterogeneity of ports in the global maritime network detected by weighted ego network analysis by Liu, Chengliang, Wang, Jiaqi, Zhang, Hong

    Published in Maritime policy and management (01-01-2018)
    “…More extensive attention has been paid to the heterogeneity of maritime transport network in topological rather than in spatial aspects. However, the…”
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    Journal Article
  11. 11

    Investigation of transmission characteristic for harmonic magnetic gears considering dynamic eccentricity using magnetic equivalent circuit by Li, Bingchu, Shi, Jiahao, Wang, Shuangyuan, Liu, Chengliang

    Published in IET electric power applications (01-02-2024)
    “…Harmonic magnetic gears (HMGs) have the advantage of lubrication‐free, high speed ratio and high torque density, which make it an attractive solution for…”
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  12. 12

    Combinatorial knowledge dynamics, innovative performance, and transition studies by Xue, Shuaijun, Liu, Chengliang

    Published in Journal of geographical sciences (01-04-2023)
    “…Cross-domain research and development has prevailed in regional transformation and disruptive innovation in the last 15 years. Recently, a new concept, termed…”
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  13. 13

    Adaptive feature extraction using sparse coding for machinery fault diagnosis by Liu, Haining, Liu, Chengliang, Huang, Yixiang

    Published in Mechanical systems and signal processing (01-02-2011)
    “…In the signal processing domain, there has been growing interest in sparse coding with a learned dictionary instead of a predefined one, which is advocated as…”
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  14. 14

    Transnational technology transfer network in China: Spatial dynamics and its determinants by Liu, Chengliang, Yan, Shanshan

    Published in Journal of geographical sciences (01-02-2022)
    “…Patent transfer has been regarded as an important channel for the nations and regions to acquire external technology, and also a direct research object to…”
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  15. 15

    Adaptive decision-level fusion strategy for the fault diagnosis of axial piston pumps using multiple channels of vibration signals by Chao, Qun, Gao, HaoHan, Tao, JianFeng, Wang, YuanHang, Zhou, Jian, Liu, ChengLiang

    Published in Science China. Technological sciences (01-02-2022)
    “…An axial piston pump is a key component that plays the role of the “heart” in hydraulic systems. The pump failure will lead to an unexpected breakdown of the…”
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  16. 16

    Anti‐noise diesel engine misfire diagnosis using a multi‐scale CNN‐LSTM neural network with denoising module by Qin, Chengjin, Jin, Yanrui, Zhang, Zhinan, Yu, Honggan, Tao, Jianfeng, Sun, Hao, Liu, Chengliang

    “…Abstract Currently, accuracy of existing diesel engine fault diagnosis methods under strong noise and generalisation performance between different noise levels…”
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  17. 17

    Domain Adaptive Motor Fault Diagnosis Using Deep Transfer Learning by Xiao, Dengyu, Huang, Yixiang, Zhao, Lujie, Qin, Chengjin, Shi, Haotian, Liu, Chengliang

    Published in IEEE access (2019)
    “…Motor fault diagnosis based on deep learning frameworks has gained much attention from academic research and industry to guarantee motor reliability. Those…”
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  18. 18

    Analysis on accuracy of rotor‐locked transient‐response‐based vibration model for switched reluctance machines by Li, Bingchu, Dong, Zikang, Huang, Yixiang, Liu, Chengliang

    Published in IET electric power applications (01-05-2022)
    “…This paper investigates the accuracy of rotor‐locked transient‐response (RLTR)‐based vibration model for switched reluctance machines (SRM). RLTR is stator…”
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  19. 19

    Motion Similarity Evaluation between Human and a Tri-Co Robot during Real-Time Imitation with a Trajectory Dynamic Time Warping Model by Gong, Liang, Chen, Binhao, Xu, Wenbin, Liu, Chengliang, Li, Xudong, Zhao, Zelin, Zhao, Lujie

    Published in Sensors (Basel, Switzerland) (02-03-2022)
    “…Precisely imitating human motions in real-time poses a challenge for the robots due to difference in their physical structures. This paper proposes a…”
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  20. 20

    Tribo-informatics: Concept, architecture, and case study by Zhang, Zhinan, Yin, Nian, Chen, Shi, Liu, Chengliang

    Published in Friction (01-06-2021)
    “…Friction plays a vital role in energy dissipation, device failure, and even energy supply in modern society. After years of research, data and information on…”
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