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浏览/检索结果: 共300条，第1-10条 帮助 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 Spatiotemporal links between meteorological and agricultural droughts impacted by tropical cyclones in China 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 912, 页码: 12 作者:  Gao, Yankang;  Zhao, Tongtiegang;  Tu, Tongbi;  Tian, Yu;  Zhang, Yongyong   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/02/19 Drought propagation  Three-dimensional connected components  Precipitation  Soil moisture  Drought cessation  Moisture flux   Semantic Policy Network for Zero-Shot Object Goal Visual Navigation 期刊论文  OAI收割 IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 11, 页码: 7655-7662 作者:  Zhao, Qianfan;  Zhang, Lu;  He, Bin;  Liu, Zhiyong   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/12/21 Deep learning  path planning  reinforcement learning  vision-based navigation   The Qitai radio telescope 期刊论文  OAI收割 SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2023, 卷号: 66, 期号: 8, 页码: 12 作者:  Wang, Na;  Xu, Qian;  Ma, Jun;  Liu, Zhiyong;  Liu, Qi   |  收藏  |  浏览/下载：13/0  |  提交时间：2023/11/14 radio telescope  radio astronomy  observation  receiver  RFI   Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 6, 页码: 7668-7685 作者:  Xu, Qianqian;  Yang, Zhiyong;  Zhao, Yunrui;  Cao, Xiaochun;  Huang, Qingming   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/12/04 Data models  Training data  Training  Deep learning  Predictive models  Testing  Optimization  Label flipping attack  machine learning   Exhumation history of the Katebasu gold-copper deposit, Western Tianshan, NW China: Constraints from (U-Th)/He and fission-track thermochronology 期刊论文  OAI收割 ORE GEOLOGY REVIEWS, 2023, 卷号: 152, 页码: 17 作者:  Sun, Jingbo;  Qin, Kezhang;  Chen, Wen;  Liu, Yunhua;  Shen, Ze   |  收藏  |  浏览/下载：20/0  |  提交时间：2023/03/30 Katebasu gold-copper deposit  (U-Th)  He dating  Fission -track dating  Age-elevation relationship  Exhumation and preservation   Influence of silicide and texture on the room temperature deformation size effect of Ti65 alloy sheets/foils and its constitutive model modification 期刊论文  OAI收割 MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2022, 卷号: 856, 页码: 14 作者:  Zhao, Ding;  Fan, Jiangkun;  Wang, Jing;  Liang, Xiaoyuan;  Wang, Qingjiang   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/05/09 Titanium alloy  Size effect  Silicide  Texture  Constitutive model   Influence of silicide and texture on the room temperature deformation size effect of Ti65 alloy sheets/foils and its constitutive model modification 期刊论文  OAI收割 MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2022, 卷号: 856, 页码: 14 作者:  Zhao, Ding;  Fan, Jiangkun;  Wang, Jing;  Liang, Xiaoyuan;  Wang, Qingjiang   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/05/09 Titanium alloy  Size effect  Silicide  Texture  Constitutive model   A Two-Stage Framework for Bias and Reliability Tests of Ensemble Hydroclimatic Forecasts 期刊论文  OAI收割 WATER RESOURCES RESEARCH, 2022, 卷号: 58, 期号: 9, 页码: 22 作者:  Zhao, Tongtiegang;  Xiong, Shaotang;  Wang, Jiabiao;  Liu, Zhiyong;  Tian, Yu   |  收藏  |  浏览/下载：23/0  |  提交时间：2022/11/09 ensemble forecasts  global precipitation  predictive performance  probability integral transform  bias  reliability   Loss of SIRT5 promotes bile acid-induced immunosuppressive microenvironment and hepatocarcinogenesis 期刊论文  OAI收割 JOURNAL OF HEPATOLOGY, 2022, 卷号: 77, 期号: 2, 页码: 453-466 作者:  Sun, Renqiang;  Zhang, Zhiyong;  Bao, Ruoxuan;  Guo, Xiaozhen;  Gu, Yuan   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/03/21 SIRT5  bile acid  macrophage polarization  immunosuppressive tumor microenvironment  liver cancer   A Real 3D Embodied Dataset for Robotic Active Visual Learning 期刊论文  OAI收割 IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 3, 页码: 6646-6652 作者:  Zhao, Qianfan;  Zhang, Lu;  Wu, Lingxi;  Qiao, Hong;  Liu, Zhiyong   |  收藏  |  浏览/下载：29/0  |  提交时间：2022/07/25 Data sets for robotic vision  deep learning for visual perception  reinforcement learning