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    DA-ResNeXt50 method for radio frequency fingerprint identification based on time-frequency and bispectral feature fusion by CHEN Mengdi, ZHANG Wei, SHEN Lei, LEI Fuqiang, ZHANG Jiafei

    Published 2024-09-01
    “…To address the problems that a single feature in radio frequency fingerprint recognition could not fully represent the integrity of the signal and that the differences between features of different classes were small, which limited the recognition accuracy, a DA-ResNeXt50 (ResNeXt50 with dense connection and ACBlock) method for radio frequency fingerprint identification based on time-frequency and bi-spectral feature fusion was proposed. …”
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  3. 803

    Identification and Differentiation of Polygonum multiflorum Radix and Polygoni multiflori Radix Preaparata through the Quantitative Analysis of Multicomponents by the Single-Marker Method by Ding-Qiang Luo, Pu Jia, Shan-Shan Zhao, Ye Zhao, Hai-Jing Liu, Feng Wei, Shuang-Cheng Ma

    Published 2019-01-01
    “…However, the influence of different sample injection volumes and the chromatographic columns and instruments used on the durability of the correction factors and RSD ≤3% hindered accurate identification; therefore, a QAMS method using an external standard value with methodological verification was developed. …”
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    Aircraft Wake Vortex Recognition Method Based on Improved Inception-VGG16 Hybrid Network by Weijun Pan, Yuhao Wang, Leilei Deng, Yanqiang Jiang, Yuanfei Leng

    Published 2025-05-01
    “…Experimental validation based on 3530 wind field samples collected at the Chengdu Shuangliu Airport demonstrates that compared to traditional methods (SVM, KNN, RF) and single deep networks (VGG16), the proposed hybrid model achieves a classification accuracy of 98.8%, significantly outperforming comparative traditional methods (SVM, KNN, RF) and single deep networks (VGG16). …”
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    Synthesis of a parametrically invariant servo drive using the model parameters recovery method by N. A. Malev

    Published 2023-06-01
    “…Implementation of the method does not require additional equipment, organization of special test signals, significant computational costs. …”
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  17. 817

    Drone-based fault recognition in power systems: a systematic review of intelligent methods by Carlos A. F. Persiani, Felipe M. Sallazar, Roberto S. Inoue, Valdir Grassi, Marco H. Terra, Mário Oleskovicz

    Published 2025-05-01
    “…As primary results, a synthetic description of the works was provided, unveiling the most frequently used algorithms, fault types, and sensors, along with their relationships established through a heatmap diagram. The identification of literature gaps and future research directions reveals the path for further exploration, including the need for more robust algorithms to improve fault detection accuracy, techniques to mitigate the impact of blurred images, methods for detecting multiple faults simultaneously, advancements in real-time processing, increased automation for field deployment, and the development of more comprehensive and diverse datasets.…”
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  18. 818

    Method for suppressing range sidelobes of bistatic integrated sensing and communication signal based on LFM by JI Chenxing, LI Peng, ZHANG Tianxiang, GAO Yulong

    Published 2025-06-01
    “…Focusing on modulation schemes and receiver architecture as key points of investigation, two innovative methods were proposed: phase reduction modulation and receiver structure optimization. …”
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    Research on a Method for Identifying Key Fault Information in Substations by Pan Zhang, Lei Guo, Zhicheng Huang, Zhoupeng Rao, Ying Zhang, Zhi Sun, Rui Xu, Deng Li

    Published 2025-05-01
    “…Our experimental results demonstrate that the proposed method significantly improves the precision and robustness of fault identification in power systems.…”
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