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[期刊论文] 作者：GUO Xiaochun,
来源：文化与宗教研究:英文版 年份：2020
Miao culture is one of the minority cultures in China.It also has a certain impact on the development of Chinese literature and poetry.Chu ci is a new poetic st...
[期刊论文] 作者：GUO Xiaochun,DONEV Petko,
来源：系统科学与复杂性学报（英文版） 年份：2020
Cryptocurrency,as an emerging social phenomenon,has attracted great research atten-tions and starts to form a new research area in the past decade.A thorough re...
Electrical bistable characteristics of poly (phenylene sulfide) thin film deposited by thermal evapo
[期刊论文] 作者：GUO XiaoChun,DONG GuiFang,QIU,
来源：黑龙江科技学院学报 年份：2007
为探究吕家坨井田地质构造格局,根据钻孔勘探资料,采用分形理论和趋势面分析方法,研究了井田7...
[会议论文] 作者：Renyu Ding,Dongmei Zhao,Zhidan Zhang,Renxuan Guo,Xiaochun Ma,
来源：中华医学会第6次全国重症医学大会 年份：2012
...
[会议论文] 作者：Liangjun Zhu,Yuandong Zhang,Zongshan Li,Binde Guo,Xiaochun Wang,
来源：第四届中国树木年轮学术研讨会 年份：2015
We present a new reconstruction of July-August mean maximum temperatures variation based on a 368-year tree-ring widths chronology in northwest Sichuan,China.The regression equation accounted for 37.1...
Generation Mechanisms and Experimental Verifications of Pseudo-range Biases for BDS navigation signa
[会议论文] 作者：Chengyan He,Ji Guo,Xiaochun Lu,Li Kang,Meng Wang,
来源：第九届中国卫星导航学术年会 年份：2018
Due to the non-ideal characteristics of navigation satellite signals,pseudo-range observations of two satellites for the same signal are different in the same receiver,in addition to that,for zero-bas...
[期刊论文] 作者：Jin Xu,Zhixin Guo,Xiaochun Jiang,Golam Jalal Ahammed,Yanhong Zhou,
来源：Horticultural Plant Journal(园艺学报:英文版) 年份：2021
Plants demonstrate dynamic changes in molecular structures under fluctuating light conditions.Accumulating evidence suggests that light plays a vital role in plant growth and morphogenesis.In particular,light has a role in the absorption an......
[会议论文] 作者：Guo Xiaochun,郭小春,Ding Guichun,丁桂春,Yin Aiqin,尹爱芹,
来源：第六届智能CAD与数字娱乐学术会议 年份：2009
本文把预测问题化为模糊模式识别问题，应用在黑龙江850农场农作物病害预测预报工作中，取得了符合实际的结果。...
[会议论文] 作者：Liu Mingxia,刘明霞,Hou Yingkun,侯迎坤,Guo Xiaochun,郭小春,Zhang Yan,张燕,Yang Deyun,杨德运,
来源：第六届智能CAD与数字娱乐学术会议 年份：2009
本文提出了一种新的基于非下采样Contourlet变换的纹理特征提取方法。首先对纹理图像进行非下采样Contourlet变换，然后提取不同尺度、不同方向上变换系数矩阵的均值和方差作为特征向量，大大降低了特征维数，并利用BP神经网络进行训练和仿真，实现了纹理图像的自动分类......
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