机构

• 近代物理研究所 [12]
• 昆明植物研究所 [7]
• 地理科学与资源研究所 [5]
• 地质与地球物理研究所 [5]
• 植物研究所 [5]
• 化学研究所 [4]
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采集方式

• OAI收割 [84]
• iSwitch采集 [5]

内容类型

• 期刊论文 [88]
• 会议论文 [1]

发表日期

• 2025 [1]
• 2024 [2]
• 2023 [6]
• 2022 [7]
• 2021 [12]
• 2020 [5]
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学科主题

• Biotechnol... [2]
• Environmen... [2]
• Genetics &... [2]
• Science & ... [2]
• 地理学::自然地理学 [2]
• Cell Biolo... [1]
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筛选

浏览/检索结果: 共89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 Rapid identification method for on-road high-emission vehicle based on deep semi-supervised anomaly detection 期刊论文  OAI收割 MEASUREMENT, 2025, 卷号: 239 作者:  Han, Lingran;  Zhang, Yujun;  He, Ying;  You, Kun;  Liu, Wenqing   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/11/20 High-emission vehicle identification  Data fusion  Deep anomaly detection  Semi-supervised learning  The chassis and engine dynamometer testing  On-road remote sensing system   Transcriptomic decoding of regional cortical vulnerability to major depressive disorder 期刊论文  OAI收割 COMMUNICATIONS BIOLOGY, 2024, 卷号: 7, 期号: 1, 页码: 12 作者:  Zhu, Jiajia;  Chen, Xiao;  Lu, Bin;  Li, Xue-Ying;  Wang, Zi-Han   |  收藏  |  浏览/下载：15/0  |  提交时间：2024/09/10 Limonoids and alkaloids from Tetradium austrosinense (Hand.-Mazz.) TG Hartley 期刊论文  OAI收割 FITOTERAPIA, 2024, 卷号: 172, 页码: 5 作者:  Han, Feng;  Yao, Jia-Ying;  Tan, Jun-Jie;  Qin, Nan;  Jiang, Yu-Xia   |  收藏  |  浏览/下载：25/0  |  提交时间：2024/02/19 Rutaceae  Tetradium austrosinense  Limonoids  Alkaloids  TDDFT-ECD calculation  Anti-inflammation   Chromosome-level genome assembly of hadal snailfish reveals mechanisms of deep-sea adaptation in vertebrates 期刊论文  OAI收割 ELIFE, 2023, 卷号: 12, 页码: 51 作者:  Xu, Wenjie;  Zhu, Chenglong;  Gao, Xueli;  Wu, Baosheng;  Xu, Han   |  收藏  |  浏览/下载：33/0  |  提交时间：2024/03/11 Pseudoliparis swirei  muscle  brain  Liparis tanakae  Other   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：31/0  |  提交时间：2023/12/04 Carbon cycles  Eddy covariance  Terrestrial ecosystems  Machine learning  Ecosystem responses   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：129/0  |  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：49/0  |  提交时间：2022/12/09 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   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：32/0  |  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：47/0  |  提交时间：2024/03/07 Carbon cycle  Climate change  Eddy covariance  Terrestrial ecosystem  Machine learning  Scale extension   Deep learning model based on contrast-enhanced ultrasound for predicting early recurrence after thermal ablation of colorectal cancer liver metastasis 期刊论文  OAI收割 EUROPEAN RADIOLOGY, 2022, 页码: 11 作者:  Zhao, Qin-xian;  He, Xue-lei;  Wang, Kun;  Cheng, Zhi-gang;  Han, Zhi-yu   |  收藏  |  浏览/下载：25/0  |  提交时间：2023/03/20 Thermal ablation  Colorectal neoplasms  Ultrasound  Deep learning  Recurrence