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• OAI收割 [529]
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• 期刊论文 [553]
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• 2025 [3]
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浏览/检索结果: 共563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 Terrestrial ecosystem response to Early Cretaceous global environmental change: A calibrated, high-resolution Aptian record from Northeast China 期刊论文  OAI收割 EARTH AND PLANETARY SCIENCE LETTERS, 2025, 卷号: 653, 页码: 13 作者:  Sun, Ming-Dao;  Lin, Qin;  Ramezani, Jahandar;  Liu, Jiang-Si;  Lu, Zheng-An   |  收藏  |  浏览/下载：11/0  |  提交时间：2025/04/03 Early Cretaceous  Aptian  CA-ID-TIMS geochronology  Astrochronology  Carbon isotope stratigraphy   Contrasting drought sensitivity of Eurasian and North American grasslands 期刊论文  OAI收割 NATURE, 2025, 卷号: N/A 作者:  Yu, Qiang;  Xu, Chong;  Wu, Honghui;  Ke, Yuguang;  Zuo, Xiaoan   |  收藏  |  浏览/下载：10/0  |  提交时间：2025/03/18 Probability analysis of shallow landslides in varying vegetation zones with random soil grain-size distribution 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2025, 卷号: 183, 页码: 18 作者:  Jiang, Hu;  Zou, Qiang;  Li, Yong;  Jiang, Yao;  Cui, Junfang   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/12/23 landslide  Slope stability  Susceptibility prediction  Random soil strength parameter  Machine learning  Vegetated slopes   Polydopamine functionalized graphitic carbon nitride nanosheets as acid stimuli-responsive nanocarrier of 2-mercaptobenzimidazole for intelligent anticorrosion coatings 期刊论文  OAI收割 PROGRESS IN ORGANIC COATINGS, 2024, 卷号: 197 作者:  Liu, Qiang;  Li, Hao;  Kong, Ling;  Du, Yiming;  Da, Yunsheng   |  收藏  |  浏览/下载：6/0  |  提交时间：2024/11/20 MBI-PDA@CN  pH-triggered release  Smart nanocarrier  Self-healing  Anticorrosion coating   Enhanced current-carrying tribological properties of copper-based microporous friction pairs containing slow-release polyaniline conductive grease 期刊论文  OAI收割 Tribology International, 2024, 卷号: 201, 期号: 无, 页码: 110240 作者:  Qiang Gao;  Qingyao Li;  Wenhao Chen;  Wenpeng Wang;  Zixiang Wu   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/12/23 Laser surface texturing Conductive grease Starved lubrication Current-carrying friction   Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2024, 卷号: 179, 页码: 22 作者:  Jiang, Hu;  Zou, Qiang;  Zhu, Yunqiang;  Li, Yong;  Zhou, Bin   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/10/08 Spatiotemporal prediction  Rainfall-driven debris flow  Deep learning  Machine learning  Rainfall features   Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2024, 卷号: 179, 页码: 22 作者:  Jiang, Hu;  Zou, Qiang;  Zhu, Yunqiang;  Li, Yong;  Zhou, Bin   |  收藏  |  浏览/下载：16/0  |  提交时间：2024/08/14 Spatiotemporal prediction  Rainfall-driven debris flow  Deep learning  Machine learning  Rainfall features   Effect of Soil Particle Size on Fluorescence Characteristics of Petroleum Hydrocarbons and Correction Methods 期刊论文  OAI收割 SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 卷号: 44 作者:  Yang Jin-qiang;  Yang Rui-fang;  Zhao Nan-jing;  Yin Gao-fang;  Fang Li   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/11/22 Soil  Petroleum hydrocarbon  Ultraviolet induced fluorescence  Soil particle size  Method of correction   Construction of a large-scale maritime element semantic schema based on knowledge graph models for unmanned automated decision-making 期刊论文  OAI收割 FRONTIERS IN MARINE SCIENCE, 2024, 卷号: 11, 页码: 24 作者:  Li, Yong;  Liu, Xiaotong;  Wang, Zhishan;  Mei, Qiang;  Xie, Wenxin   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/12/06 knowledge graph  graph embedding  intelligent maritime  ship classification  similar berth recommendation   Surface defect detection and semantic segmentation with a novel lightweight deep neural network 期刊论文  OAI收割 Measurement Science and Technology, 2024, 卷号: 35, 期号: 8, 页码: 14 作者:  Huang,Qiang;  Li,Fudong;  Yang,Yuequan;  Tao,Xian;  Li,Wei   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/07/03 deep learning  surface defect detection  semantic segmentation  lightweight network