机构

• 合肥物质科学研究院 [8]
• 地理科学与资源研究所 [7]
• 植物研究所 [7]
• 自动化研究所 [6]
• 武汉植物园 [5]
• 新疆天文台 [4]
• 更多

采集方式

• OAI收割 [88]

内容类型

• 期刊论文 [82]
• 会议论文 [5]
• 预印本 [1]

发表日期

• 2024 [2]
• 2023 [7]
• 2022 [18]
• 2021 [6]
• 2020 [7]
• 2019 [5]
• 更多

学科主题

• Ecology [2]
• Environmen... [2]
• Geology [2]
• Geoscience... [2]
• Meteorolog... [2]
• Physical G... [2]
• 更多

筛选

浏览/检索结果: 共88条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 RIPK1 inhibitor ameliorates pulmonary injury by modulating the function of neutrophils and vascular endothelial cells 期刊论文  OAI收割 CELL DEATH DISCOVERY, 2024, 卷号: 10, 期号: 1, 页码: 12 作者:  Yang, Tao;  Xiang, Cai-gui;  Wang, Xiao-han;  Li, Qing-qing;  Lei, Shu-yue   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/05/07 Privacy Protection for Blockchain-Based Healthcare IoT Systems: A Survey 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 8, 页码: 1757-1776 作者:  Minfeng Qi;  Ziyuan Wang;  Qing-Long Han;  Jun Zhang;  Shiping Chen   |  收藏  |  浏览/下载：16/0  |  提交时间：2024/07/16 Blockchain  internet of healthcare things (IoHT)  privacy-preserving techniques (PPTs)   Ecosystem responses dominate the trends of annual gross primary productivity over terrestrial ecosystems of China during 2000-2020 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 343, 页码: 109758 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：29/0  |  提交时间：2023/12/04 Carbon cycles  Eddy covariance  Terrestrial ecosystems  Machine learning  Ecosystem responses   Modeling of breaching parameters for debris flow dams 期刊论文  OAI收割 JOURNAL OF MOUNTAIN SCIENCE, 2023, 卷号: 20, 期号: 10, 页码: 2835-2851 作者:  Ruan, He-chun;  Chen, Hua-yong;  Chen, Xiao-qing;  Zhao, Wan-yu;  Chen, Jian-gang   |  收藏  |  浏览/下载：22/0  |  提交时间：2024/03/14 Debris flow dams  Overtopping failure  Breaching parameters  Peak discharge  Flume experiment   Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857, 页码: 18 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：126/0  |  提交时间：2022/12/09 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857, 页码: 18 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：42/0  |  提交时间：2022/12/09 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Detecting Vulnerability on IoT Device Firmware: A Survey 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 25-41 作者:  Xiaotao Feng;  Xiaogang Zhu;  Qing-Long Han;  Wei Zhou;  Sheng Wen   |  收藏  |  浏览/下载：54/0  |  提交时间：2023/01/03 Firmware emulation  internet of things (IoT) firmware  network fuzzing  security  static analysis   Ecosystem responses dominate the trends of annual gross primary productivity over terrestrial ecosystems of China during 2000-2020 期刊论文  OAI收割 AGRICULTURAL AND FOREST METEOROLOGY, 2023, 卷号: 343 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：28/0  |  提交时间：2023/12/01 Mapping Chinese annual gross primary productivity with eddy covariance measurements and machine learning 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 卷号: 857 作者:  Zhu, Xian-Jin;  Yu, Gui-Rui;  Chen, Zhi;  Zhang, Wei-Kang;  Han, Lang   |  收藏  |  浏览/下载：42/0  |  提交时间：2024/03/07 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Spatiotemporal Pattern of Ecosystem Respiration in China Estimated by Integration of Machine Learning With Ecological Understanding 期刊论文  OAI收割 GLOBAL BIOGEOCHEMICAL CYCLES, 2022, 卷号: 36, 期号: 11, 页码: 15 作者:  Han, Lang;  Yu, Gui-Rui;  Chen, Zhi;  Zhu, Xian-Jin;  Zhang, Wei-Kang   |  收藏  |  浏览/下载：67/0  |  提交时间：2022/12/23 ecosystem respiration  eddy covariance  terrestrial ecosystem  machine learning  substrate  scale extension