Search Results - "Wang, Qianlong"

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  1. 1

    Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach by Luo, Changqing, Ji, Jinlong, Wang, Qianlong, Chen, Xuhui, Li, Pan

    “…Channel state information (CSI) estimation is one of the most fundamental problems in wireless communication systems. Various methods, so far, have been…”
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    Journal Article
  2. 2

    Intelligent Driving Data Recorder in Smartphone Using Deep Neural Network-Based Speedometer and Scene Understanding by Yanlei Gu, Qianlong Wang, Kamijo, Shunsuke

    Published in IEEE sensors journal (01-01-2019)
    “…This paper proposes a smartphone-based Driving Data Recorder (DDR). The proposed DDR has the functions of accurate speed estimation and intelligent traffic…”
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  3. 3

    Development of a national VNIR soil-spectral library for soil classification and prediction of organic matter concentrations by Shi, Zhou, Wang, QianLong, Peng, Jie, Ji, WenJun, Liu, HuanJun, Li, Xi, Viscarra Rossel, Raphael A.

    Published in Science China. Earth sciences (01-07-2014)
    “…Soil visible-near infrared diffuse reflectance spectroscopy (vis-NIR DRS) has become an important area of research in the fields of remote and proximal soil…”
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  4. 4

    A machine learning approach assisting soot radiation-based thermometry to recover complete flame temperature field in a laminar flame by Wang, Qianlong, Li, Zhen, Li, Chaomin, Liu, Haifeng, Ren, Tao

    Published in Applied physics. B, Lasers and optics (01-03-2021)
    “…Soot radiation-based thermometry is a popular approach for flame temperature diagnostics. However, it usually suffers from flame temperature information lost…”
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  5. 5

    Investigation on Blending Effects of Gasoline Fuel with N-Butanol, DMF, and Ethanol on the Fuel Consumption and Harmful Emissions in a GDI Vehicle by Liu, Haifeng, Wang, Xichang, Zhang, Diping, Fang, Dong, Liu, Xinlu, Yang, Yong, Huang, Haozhong, Wang, Yang, Wang, Qianlong, Zheng, Zunqing

    Published in Energies (Basel) (2019)
    “…The effects of three kinds of oxygenated fuel blends—i.e., ethanol-gasoline, n-butanol-gasoline, and 2,5-dimethylfuran (DMF)-gasoline-on fuel consumption,…”
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    Journal Article
  6. 6

    Survey of Distributed and Decentralized IoT Securities: Approaches Using Deep Learning and Blockchain Technology by Falayi, Ayodeji, Wang, Qianlong, Liao, Weixian, Yu, Wei

    Published in Future internet (01-05-2023)
    “…The Internet of Things (IoT) continues to attract attention in the context of computational resource growth. Various disciplines and fields have begun to…”
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  7. 7

    PVTReID: A Quick Person Reidentification-Based Pyramid Vision Transformer by Han, Ke, Wang, Qianlong, Zhu, Mingming, Zhang, Xiyan

    Published in Applied sciences (01-09-2023)
    “…Person re-identification (ReID) has attracted the attention of a large number of researchers due to its wide range of applications. However, due to the…”
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  8. 8

    Survey on Multi-Task Learning in Smart Transportation by Alzahrani, Mohammed, Wang, Qianlong, Liao, Weixian, Chen, Xuhui, Yu, Wei

    Published in IEEE access (2024)
    “…Artificial Intelligence (AI) has been widely adopted in numerous fields and enabled various smart systems because of its strong ability to perform tasks,…”
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  9. 9

    Modeling of Switched Reluctance Linear Launcher by Chen, Hao, Wang, Qianlong

    Published in IEEE transactions on plasma science (01-05-2013)
    “…A nonlinear simulation model of switched reluctance linear launcher drive based on MATLAB platform is presented in this paper. It consists of a three-phase 6/4…”
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  10. 10

    Rapid nondestructive detection of peanut varieties and peanut mildew based on hyperspectral imaging and stacked machine learning models by Wu, Qingsong, Xu, Lijia, Zou, Zhiyong, Wang, Jian, Zeng, Qifeng, Wang, Qianlong, Zhen, Jiangbo, Wang, Yuchao, Zhao, Yongpeng, Zhou, Man

    Published in Frontiers in plant science (10-11-2022)
    “…Moldy peanut seeds are damaged by mold, which seriously affects the germination rate of peanut seeds. At the same time, the quality and variety purity of…”
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  11. 11

    A Fairness-Aware Peer-to-Peer Decentralized Learning Framework with Heterogeneous Devices by Chen, Zheyi, Liao, Weixian, Tian, Pu, Wang , Qianlong, Yu, Wei

    Published in Future internet (01-05-2022)
    “…Distributed machine learning paradigms have benefited from the concurrent advancement of deep learning and the Internet of Things (IoT), among which federated…”
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  12. 12

    TrafficChain: A Blockchain-Based Secure and Privacy-Preserving Traffic Map by Wang, Qianlong, Ji, Tianxi, Guo, Yifan, Yu, Lixing, Chen, Xuhui, Li, Pan

    Published in IEEE access (2020)
    “…Intelligent Connected Vehicles (ICVs) can provide smart, safe, and efficient transportation services and have attracted intensive attention recently. Obtaining…”
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  13. 13

    Detection of peanut seed vigor based on hyperspectral imaging and chemometrics by Zou, Zhiyong, Chen, Jie, Wu, Weijia, Luo, Jinghao, Long, Tao, Wu, Qingsong, Wang, Qianlong, Zhen, Jiangbo, Zhao, Yongpeng, Wang, Yuchao, Chen, Yongming, Zhou, Man, Xu, Lijia

    Published in Frontiers in plant science (27-02-2023)
    “…Rapid nondestructive testing of peanut seed vigor is of great significance in current research. Before seeds are sown, effective screening of high-quality…”
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  14. 14

    Design and Control of a Transverse Flux Linear Switched Reluctance Machine for Rail Transit Application by Li, Xinliang, Liu, Fang, Jiang, Wei, Jin, Hong, Li, Minyan, Wang, Qianlong

    Published in IEEE access (01-01-2022)
    “…The design, optimization and control methods of a transverse flux Linear Switched Reluctance Motor (LSRM) for the rail transit application are introduced. Two…”
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  15. 15

    Development of the ignition delay prediction model of n-butane/hydrogen mixtures based on artificial neural network by Cui, Yanqing, Wang, Qianlong, Liu, Haifeng, Zheng, Zunqing, Wang, Hu, Yue, Zongyu, Yao, Mingfa

    Published in Energy and AI (01-11-2020)
    “…•A back propagation neural network (BPNN) was developed for ignition delay prediction.•Genetic algorithm optimization enhanced the predictive accuracy of…”
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  16. 16

    Robust Multiagent Reinforcement Learning for UAV Systems: Countering Byzantine Attacks by Medhi, Jishu K., Liu, Rui, Wang, Qianlong, Chen, Xuhui

    Published in Information (Basel) (01-11-2023)
    “…Multiple unmanned aerial vehicle (multi-UAV) systems have gained significant attention in applications, such as aerial surveillance and search and rescue…”
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  17. 17

    The effect of ammonia on soot formation in ethylene diffusion flames by Wang, QianLong, Yan, ZhiWen, Li, ChaoMin, Cui, YanQing, Wen, MingSheng, Liu, HaiFeng, Yao, MingFa

    Published in Science China. Technological sciences (01-12-2023)
    “…This paper originally investigates the effect of NH 3 dilution on soot formation when NH 3 is gradually added into the fuel stream in an ethylene laminar…”
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  18. 18

    A Novel Step Current Excitation Control Method to Reduce the Torque Ripple of Outer-Rotor Switched Reluctance Motors by Wang, Jieyun, Jiang, Wei, Wang, Shuren, Lu, Jingying, Williams, Barry W., Wang, Qianlong

    Published in Energies (Basel) (13-04-2022)
    “…Featured in low-speed and high-torque operation, outer-rotor switched reluctance motors (OSRMs) have the potential to be widely deployed in low-speed commuter…”
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  19. 19

    Supercritical thermophysical properties prediction of multi-component hydrocarbon fuels based on artificial neural network models by Ming, ZhenYang, Liu, HaiFeng, Wang, QianLong, Yue, ZongYu, Cui, YanQing, Wen, MingSheng, Yao, MingFa

    Published in Science China. Technological sciences (01-04-2022)
    “…A good understanding of the thermophysical properties of hydrocarbon fuels at supercritical pressure is important to research on experiment and numerical…”
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  20. 20

    Spectrum Availability Prediction for Cognitive Radio Communications: A DCG Approach by Yu, Lixing, Guo, Yifan, Wang, Qianlong, Luo, Changqing, Li, Ming, Liao, Weixian, Li, Pan

    “…Cognitive Radio (CR) technology enables secondary users (SUs) to opportunistically access unused licensed spectrum owned by primary users (PUs). It has the…”
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