Shaofan Su1, Deyu Yuan2,*, Yuanxin Wang2, Meng Ding3
Computer Systems Science and Engineering, Vol.45, No.1, pp. 85-97, 2023, DOI:10.32604/csse.2023.030849
Abstract With the rapid development of Internet technology, the type of information in the Internet is extremely complex, and a large number of riot contents containing bloody, violent and riotous components have appeared. These contents pose a great threat to the network ecology and national security. As a result, the importance of monitoring riotous Internet activity cannot be overstated. Convolutional Neural Network (CNN-based) target detection algorithm has great potential in identifying rioters, so this paper focused on the use of improved backbone and optimization function of You Only Look Once v5 (YOLOv5), and further optimization of hyperparameters using genetic algorithm to… More >
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