Adaptive parameters optimization model with 3D information extraction for infrared small target detection based on particle swarm optimization algorithm

Automatic Extraction of Web Page Text Information Based on Network Topology Coincidence Degree

“…As can be seen from Figure 7, due to the high digital identity repetition rate of QQ business, the collection success rate of both methods in reference [8] and reference [9] declined to varying degrees, while the collection effect of the method in this paper remained stable. Moreover, the information collection effect of this method is significantly better than that of reference [8] and reference [9], with an average success rate of 94.6%. The average value of reference [8] and reference [9] is 77.9% and 73.8%, respectively.…”

“…In order to verify the comprehensive effectiveness of the automatic extraction method of web page text information based on network topology coincidence, in the hardware environment of Intel Celeron Tulatin1GHz CPU and 385 MB SD memory and MATLAB 6 0 software environment. The design method, reference [8] method, and reference [9] method are compared to verify the effect of automatic extraction of web page text information.…”

“…It can be seen from Figure 6 that the number of repeated QQ digital identities in this province is the largest. The methods in this paper, reference [8], and reference [9] are 48%, 45%. and 42%, respectively.…”

“…Microblogging followed, with 35%, 30%, and 27% of the three methods, respectively; Baidu and Taobao are the least, and about 1/2 of users have at least two digital identities. For different Internet services, the number of deduplication in this method is much larger than that in reference [8] and reference [9], which reduces the number of digital identities of the same user, simplifies the complexity of the associated information in the data set, and reduces the difficulty of information extraction to a great extent.…”

“…Relevant scholars have put forward numerous studies. In reference [8], an adaptive parameter optimization model of infrared small target 3D information extraction based on particle swarm algorithm was proposed. Multiobjective particle swarm optimization algorithm was used to optimize the parameters of the 3D information extraction method, realizing the adaptability of the detection method in different detection scenarios.…”