机构

• 地理科学与资源研究... [11]
• 自动化研究所 [10]
• 西安光学精密机械研... [10]
• 深圳先进技术研究院 [6]
• 计算技术研究所 [4]
• 寒区旱区环境与工程研... [3]
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采集方式

• OAI收割 [60]
• iSwitch采集 [3]

内容类型

• 期刊论文 [56]
• 会议论文 [7]

发表日期

• 2018 [63]

学科主题

• Computer ... [10]
• Computer S... [1]
• Computer S... [1]
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• Physics [1]
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筛选

浏览/检索结果: 共63条，第1-10条 帮助 限定条件 发表日期：2018     条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Predicting multiple land use transitions under rapid urbanization and implications for land management and urban planning: The case of Zhanggong District in central China 期刊论文  OAI收割 HABITAT INTERNATIONAL, 2018, 卷号: 82, 页码: 48-61 作者:  Wang, Lingzhi;  Pijanowski, Bryan;  Yang, Weishi;  Zhai, Ruixue;  Omrani, Hichem   |  收藏  |  浏览/下载：39/0  |  提交时间：2019/05/23 Multiple land use transitions  Urbanization  Artificial neural networks  Land use management  Urban planning  China   Predicting multiple land use transitions under rapid urbanization and implications for land management and urban planning: The case of Zhanggong District in central China 期刊论文  OAI收割 HABITAT INTERNATIONAL, 2018, 卷号: 82, 页码: 48-61 作者:  Wang, Lingzhi;  Pijanowski, Bryan;  Yang, Weishi;  Zhai, Ruixue;  Omrani, Hichem   |  收藏  |  浏览/下载：32/0  |  提交时间：2019/05/23 Multiple land use transitions  Urbanization  Artificial neural networks  Land use management  Urban planning  China   Predicting multiple land use transitions under rapid urbanization and implications for land management and urban planning: The case of Zhanggong District in central China 期刊论文  OAI收割 HABITAT INTERNATIONAL, 2018, 卷号: 82, 页码: 48-61 作者:  Wang, Lingzhi;  Pijanowski, Bryan;  Yang, Weishi;  Zhai, Ruixue;  Omrani, Hichem   |  收藏  |  浏览/下载：7/0  |  提交时间：2019/05/23 Multiple land use transitions  Urbanization  Artificial neural networks  Land use management  Urban planning  China   Unsupervised speech recognition through spike-timing-dependent plasticity in a convolutional spiking neural network 期刊论文  OAI收割 PLOS ONE, 2018, 卷号: 13, 期号: 11, 页码: 19 作者:  Dong, Meng;  Huang, Xuhui;  Xu, Bo   |  收藏  |  浏览/下载：42/0  |  提交时间：2019/07/12 Centroid computation for Shack-Hartmann wavefront sensor in extreme situations based on artificial neural networks 期刊论文  OAI收割 OPTICS EXPRESS, 2018, 卷号: 26, 期号: 24, 页码: 31675-31692 作者:  Li, Ziqiang;  Li, Xinyang   |  收藏  |  浏览/下载：22/0  |  提交时间：2019/08/23 Adaptive optics  Light  Noise pollution  Signal to noise ratio  Wavefronts   Reconstruction of terrestrial water storage anomalies in Northwest China during 1948-2002 using GRACE and GLDAS products 期刊论文  OAI收割 HYDROLOGY RESEARCH, 2018, 卷号: 49, 期号: 5, 页码: 1594-1607 作者:  Yang, Peng;  Xia, Jun;  Zhan, Chesheng;  Wang, Tiejun   |  收藏  |  浏览/下载：27/0  |  提交时间：2019/05/23 GRACE  Northwest China  reconstruction  SST  terrestrial water storage anomalies   Temporal Action Detection in Untrimmed Videos from Fine to Coarse Granularity 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2018, 卷号: 8, 期号: 10, 页码: 1924 作者:  Guangle Yao;  Tao Lei;  Xianyuan Liu;  Ping Jiang   |  收藏  |  浏览/下载：18/0  |  提交时间：2019/08/23 action detection  action proposal  convolutional neural network  regression network   Research of stacked denoising sparse autoencoder 期刊论文  OAI收割 NEURAL COMPUTING & APPLICATIONS, 2018, 卷号: 30, 期号: 7, 页码: 2083-2100 作者:  Meng, Lingheng;  Ding, Shifei;  Zhang, Nan;  Zhang, Jian   |  收藏  |  浏览/下载：29/0  |  提交时间：2019/12/10 Autoencoder  Stacked autoencoders  Feature extraction  Unsupervised learning  Sparse coding  Deep learning   Artificial intelligence in drug design 期刊论文  OAI收割 SCIENCE CHINA-LIFE SCIENCES, 2018, 卷号: 61, 期号: 10, 页码: 1191-1204 作者:  Zhong, Feisheng;  Xing, Jing;  Li, Xutong;  Liu, Xiaohong;  Fu, Zunyun   |  收藏  |  浏览/下载：28/0  |  提交时间：2019/01/08 drug design  artificial intelligence  deep learning  QSAR  ADME/T   Testing photometric redshift measurements with filter definition of the Chinese Space Station Optical Survey (CSS-OS) 期刊论文  OAI收割 MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2018, 卷号: 480, 期号: 2, 页码: 2178-2190 作者:  Cao, Ye;  Gong, Yan;  Meng, Xian-Min;  Xu, Cong K.;  Chen, Xuelei   |  收藏  |  浏览/下载：8/0  |  提交时间：2020/03/10 cosmology: observations  large-scale structure of universe