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4篇 您的检索式:作者名="LUO Xiling"
    题名 作者 年代 出处 被引量
1Hierarchical Feature-Based Detection Method for SAR Targets Under Complex Environment显示文摘A reliable target detection method for Synthetic aperture radar(SAR)images is needed urgently with the wide application of SAR systems.The performance of conventional detection algorithms,such as Constant false alarm rate(CFAR),degrade significantly in low SCR or complex regions while the Human visual system(HVS)can identify targets of interest without knowing characteristics of the background even in complicated environment.The combination of HVS with the SAR-ATR system may effectively achieve real-time multi-target detection in complex occlusion scenes.A new effective target detection algorithm is put forward using hierarchical characteristics of targets.Inspired by different roles of the retina and visual cortex in the HVS,this detection algorithm is divided into coarse detection and fine detection stage.Two kinds of features based on the correlation between target features and suspicious targets,namely overall feature and refined feature,are used in these two stages respectively to extract real targets.Experimental results verify its correctness and effectiveness in complex environment.GAO Fei MA Fei LUO Xiling WANG Jun SUN Jinping 2017Chinese Journal of Electronics2017,26,3:4
2A multiform SWIM service delivery platform for air traffic management environ- merit 显示文摘Meng Qingtao Luo Xiling Qi Ming 2010International Journal of Digital2010,6,18:1
3A multiform SWIM service delivery platform for air traffic management en- vironment 显示文摘Meng Qingtao Luo Xiling Qi Ming 2010International Journal of Digital2010,6,18:1
4An integrative drug repositioning framework discovered a potential therapeutic agent targeting COVID-19显示文摘The global spread of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)requires an urgent need to find effective therapeutics for the treatment of coronavirus disease 2019(COVID-19).In this study,we developed an integrative drug repositioning framework,which fully takes advantage of machine learning and statistical analysis approaches to systematically integrate and mine large-scale knowledge graph,literature and transcriptome data to discover the potential drug candidates against SARS-CoV-2.Our in silico screening followed by wet-lab validation indicated that a poly-ADP-ribose polymerase 1(PARP1)inhibitor,CVL218,currently in Phase I clinical trial,may be repurposed to treat COVID-19.Our in vitro assays revealed that CVL218 can exhibit effective inhibitory activity against SARS-CoV-2 replication without obvious cytopathic effect.In addition,we showed that CVL218 can interact with the nucleocapsid(N)protein of SARS-CoV-2 and is able to suppress the LPS-induced production of several inflammatory cytokines that are highly relevant to the prevention of immunopathology induced by SARS-CoV-2 infection.Yiyue Ge Tingzhong Tian Suling Huang Fangping Wan Jingxin Li Shuya Li Xiaoting Wang Hui Yang Lixiang Hong Nian Wu Enming Yuan Yunan Luo Lili Cheng Chengliang Hu Yipin Lei Hantao Shu Xiaolong Feng Ziyuan Jiang Yunfu Wu Ying Chi Xiling Guo Lunbiao Cui Liang Xiao Zeng Li Chunhao Yang Zehong Miao Ligong Chen Haitao Li Hainian Zeng Dan Zhao Fengcai Zhu Xiaokun Shen Jianyang Zeng 2021Signal Transduction and Targeted Therapy2021,6,5:0
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