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[11]lingqiang ,陈春霖,lifeng,一种基于深度学习的能见度检测方法,201710732921.0,2017-12-22,
[12]lingqiang ,张强,lifeng,kangyu,一种基于支持向量回归的车辆尾气浓度反演方法,201710732914.0,2017-11-07,
[13]lingqiang ,张强,lifeng,kangyu,一种基于深层次神经网络的车辆尾气浓度反演方法,201710732880.5,2018-01-12,
[14]lingqiang ,张大勇,Quan Zheng,wangsong,xujun,lifeng,一种基于GPU嵌入式平台的玉米破损率检测方法,201710669925.9,2017-12-26,
[15]lingqiang ,张梦磊,lifeng,一种低信噪比下考虑基线偏移的核磁共振T2谱反演方法,201611094245.0,2017-05-24,
[16]lingqiang ,陈春霖,朱学俊,lifeng,一种基于暗通道先验的图像去雾透射率优化方法,201610546825.2,2016-11-23,
[17]lingqiang ,陈春霖,朱学俊,lifeng,一种基于暗通道先验的自适应图像去雾方法,201610546823.3,2016-12-07,
[18]lingqiang ,张梦磊,lifeng,一种基于正交匹配追踪算法的核磁共振T2谱反演方法,201610525797.6,2016-11-23,
[19]lingqiang ,邓思斌,liugang,lifeng,一种自适应的背景轨迹提取方法和装置,201610403692.3,2016-11-09,
[20]lingqiang ,邓思斌,liugang,lifeng,一种基于反馈的前景轨迹判定方法和装置,201610403691.9,2016-11-09,
total43 2/5
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