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  1. No Access

    Article

    An efficient deep convolutional neural network with features fusion for radar signal recognition

    This paper proposes an efficient deep convolutional neural network with features fusion for recognizing radar signal, which mainly includes data pre-processing, features extraction, multi-features fusion, and ...

    Weijian Si, Chenxia Wan, Zhian Deng in Multimedia Tools and Applications (2023)

  2. No Access

    Article

    Towards an accurate radar waveform recognition algorithm based on dense CNN

    Existing algorithms for radar waveform classification currently exhibit the lower recognition accuracy, especially at the lower signal to noise ratio (SNR) environment. To remedy these flaws, this paper propos...

    Weijian Si, Chenxia Wan, Chunjie Zhang in Multimedia Tools and Applications (2021)

  3. No Access

    Article

    A modified faster region-based convolutional neural network approach for improved vehicle detection performance

    Presently available algorithms employed for vehicle detection exhibit three main disadvantages: slow detection speed, poor small objects detection, and low detection precision. To solve above problems, the pre...

    Qinghui Zhang, Chenxia Wan, Weiliang Han in Multimedia Tools and Applications (2019)