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浏览/检索结果: 共7条，第1-7条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Identification of gene products that control lipid droplet size in yeast using a high-throughput quantitative image analysis 期刊论文 BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR AND CELL BIOLOGY OF LIPIDS, 2019, 卷号: 1864, 期号: 2 作者:  Lv, Xuchao;  Liu, Jiaming;  Qin, Yiran;  Liu, Yizhang;  Jin, Meijun 收藏  |  浏览/下载：20/0  |  提交时间：2019/12/05 Lipid droplet  High-content screen  Quantitative image analysis  Cidea  FLD1/seipin  Yeast   Transfer-free growth of graphene on Al2O3 (0001) using a three-step method 期刊论文 Carbon, 2018, 卷号: 131, 页码: 10-17 作者:  Zhang, Chitengfei;  Huang, Jin;  Tu, Rong;  Zhang, Song*;  Yang, Meijun 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/04 Synthesis of large size uniform single-crystalline trilayer graphene on premelting copper 期刊论文 Carbon, 2017, 卷号: 122, 页码: 352-360 作者:  Zhang, Chitengfei;  Tu, Rong;  Zhang, Song*;  Huang, Jin;  Gao, Tenghua 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/04 Spatiotemporal variability of remotely sensed pm2.5 concentrations in china from 1998 to 2014 based on a bayesian hierarchy model 期刊论文 International journal of environmental research and public health, 2016, 卷号: 13, 期号: 8, 页码: 17 作者:  Li, Junming;  Jin, Meijun;  Xu, Zheng 收藏  |  浏览/下载：29/0  |  提交时间：2019/05/09 Pm2.5 concentrations  Spatiotemporal variation  Bayesian hierarchy model   Spatiotemporal Variability of Remotely Sensed PM2.5 Concentrations in China from 1998 to 2014 Based on a Bayesian Hierarchy Model 期刊论文 INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2016, 卷号: 13, 期号: 8 作者:  Li Junming[1];  Jin Meijun[2];  Xu Zheng[3] 收藏  |  浏览/下载：4/0  |  提交时间：2019/12/23 PM2.5 concentrations  spatiotemporal variation  Bayesian hierarchy model   Recognition confidence analysis of handwritten Chinese character with CNN (EI收录) 会议 Nancy, France, 作者:  He, Meijun[1];  Zhang, Shuye[1];  Mao, Huiyun[1];  Jin, Lianwen[1] 收藏  |  浏览/下载：1/0  |  提交时间：2019/04/11 Convolution  Neural networks  Technology transfer   Recognition Confidence Analysis of Handwritten Chinese Character with CNN (CPCI-S收录) 会议 作者:  He, Meijun[1];  Zhang, Shuye[1];  Mao, Huiyun[1];  Jin, Lianwen[1] 收藏  |  浏览/下载：1/0  |  提交时间：2019/04/11 handwriting Chinese character analysis  confidence metric  convolutional neural network