Xiaodan Wang^*, Peng Wang, Yafei Song, Qian Xiang, Jingtai Li

Computer Systems Science and Engineering, Vol.48, No.1, pp. 217-246, 2024, DOI:10.32604/csse.2023.039846

Abstract High-resolution range profile (HRRP) automatic recognition has been widely applied to military and civilian domains. Present HRRP recognition methods have difficulty extracting deep and global information about the HRRP sequence, which performs poorly in real scenes due to the ambient noise, variant targets, and limited data. Moreover, most existing methods improve the recognition performance by stacking a large number of modules, but ignore the lightweight of methods, resulting in over-parameterization and complex computational effort, which will be challenging to meet the deployment and application on edge devices. To tackle the above problems, this paper proposes an HRRP sequence recognition method… More >

Shuzhen SHI^{1, 2}, Ming LIU^{1, 2}, Wenjuan MA^{1, 2}, Ya GAO^{1, 2}, Long GE³, Xiping SHEN³, Jiarui WU⁴, Junhua ZHANG^{5, *}, Jinhui TIAN^{1, 2, *}

BIOCELL, Vol.43, No.4, pp. 233-251, 2019, DOI:10.32604/biocell.2019.07624

Abstract The study aimed to analyze the reporting and methodological quality of systematic reviews (SRs)/metaanalyses (MAs) of animal models to provide references for later studies and avoid the waste of medical resources. EMBASE and MEDLINE databases were searched from inception to November 2017, with no language restriction. Two reviewers selected inclusion dependently and extracted the basic characteristics. Review Manager 5.3, stata 12.0, and SPSS 21 software were used to conduct analyses. A total of 46 SRs/MAs were included. The results showed that the English databases with high retrieval frequency are PubMed/MEDLINE, EMBASE, and Web of Science. 67.31% (31/46) of the articles… More >