Showing 1 - 20 results of 595 for search 'detection-based methods', query time: 0.22s Refine Results
  1. 1

    A Method of Printing Defect Detection Based on DCGAN by WANG Hai-tao, GAO Yu-dong, HOU Jian-xin, HE Yong-jun, CHEN De-yun

    Published 2021-12-01
    “…In order to solve this problem, this paper proposes a new method of printing defect detection based on deep convolutional general advanced networks (DCGAN) networks. …”
    Get full text
    Article
  2. 2
  3. 3
  4. 4

    Method of Webshell detection based on multi-view feature fusion by Feng LIN, Liujing XU, Xiaohua CHEN, Weiqiang QI, Ke CHEN, Tiantian ZHU

    Published 2020-06-01
    “…Webshell is a malicious script file on the Web.It is usually uploaded by the attacker to the target server to achieve the purpose of illegal access control.In order to overcome the shortcoming of the existing Webshell detection methods,such as single network traffic behavior,simple by passed signature comparison,and easily bypassed signature comparison,a method of Webshell detection based on multi-view feature fusion for PHP Webshell detecting was proposed.Firstly,multiple features including lexical features,syntactic features,and abstract features were extracted.Secondly,fisher score was used to sort and filter all features according to the degree of importance.Finally,a model that can effectively distinguish Webshell from normal scripts was established through SVM.The large-scale experiment in real-world scenario shows that the final accuracy of our model can reach 92.1%.…”
    Get full text
    Article
  5. 5
  6. 6
  7. 7
  8. 8

    A Method of Fatigue Driving State Detection Based on Deep Learning by XIONG Qunfang, LIN Jun, YUE Wei

    Published 2018-01-01
    “…Finally, the fatigue state of the video stream image is detected based on the Perclos algorithm. The experimental results show that this method can obtain good fatigue characteristics, realize real-time fatigue detection, and its detection accuracy is 96.8%.…”
    Get full text
    Article
  9. 9
  10. 10
  11. 11

    An automatic pruning method for SAR target detection based on multitask reinforcement learning by Huiyao Wan, Jie Chen, Pazlat Nurmamat, Hongcheng Zeng, Wei Yang, Tao Xu, Bocai Wu, Jie Chen, Zhixiang Huang, Paulo S.R. Diniz

    Published 2025-06-01
    “…In recent years, research on synthetic aperture radar (SAR) target detection based on deep learning methods has made substantial progress in model accuracy. …”
    Get full text
    Article
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16
  17. 17
  18. 18
  19. 19
  20. 20