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浏览/检索结果: 共727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 Structurally diverse terpenoids and their DRAK2 inhibitory activities: A follow-up study on the vulnerable conifer Pseudotsuga forrestii 期刊论文  OAI收割 JOURNAL OF MOLECULAR STRUCTURE, 2024, 卷号: 1305, 页码: 13 作者:  Zhou, Peng-Jun;  Huang, Ting;  Ma, Guang-Lei;  Zhao, Ze-Yu;  Jiang, Zhe-Lu   |  收藏  |  浏览/下载：4/0  |  提交时间：2024/05/07 Pseudotsuga forrestii  Rare and endangered plants (REPs)  Triterpene-monoterpene hybrids  GLMDs  DRAK2 inhibition  Molecular docking   Typical Ground Object Recognition in Desert Areas Based on DYDCNet: A Case Study in the Circum-Tarim Region, Xinjiang, China 期刊论文  OAI收割 IEEE ACCESS, 2024, 卷号: 12, 页码: 55800-55813 作者:  Fan, Junfu;  Gao, Yu;  Shi, Zongwen;  Li, Ping;  Sun, Guangwei   |  收藏  |  浏览/下载：14/0  |  提交时间：2024/05/21 Desert area  multiscale  dynamic convolution decomposition  deformable convolution  deep learning  ground object classification   Monitoring soil organic carbon under coastal restoration using time series Sentinel-1 期刊论文  OAI收割 LAND DEGRADATION & DEVELOPMENT, 2024, 卷号: N/A 作者:  Yang, Ren-Min;  Huang, Lai-Ming   |  收藏  |  浏览/下载：22/0  |  提交时间：2024/04/08 Monte Carlo feature selection  random forests  soil organic carbon  structural equation modeling  synthetic aperture radar  vegetation phenology   Habitat suitability assessment for Saunders's Gull (Saundersilarus saundersi) in the Yellow River Delta, China 期刊论文  OAI收割 ECOLOGICAL INFORMATICS, 2024, 卷号: 79, 页码: 10 作者:  Li, Dong;  Li, Bin;  Hou, Xiyong;  Wang, Xiaoli;  Li, Xiaowei   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/01/26 Optimized MaxEnt model  Saunders's Gull  Yellow river Delta  Habitat suitability   First Determination in the Extended Corona of the 2D Thermal Evolution of a Current Sheet after a Solar Eruption 期刊论文  OAI收割 ASTROPHYSICAL JOURNAL, 2024, 卷号: 964, 期号: 1 作者:  Bemporad, Alessandro;  Shi, Guanglu;  Li, Shuting;  Ying, Beili;  Feng, Li   |  收藏  |  浏览/下载：3/0  |  提交时间：2024/04/08 Freshwater Aquaculture Mapping in "Home of Chinese Crawfish" by Using a Hierarchical Classification Framework and Sentinel-1/2 Data 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 5, 页码: 20 作者:  Wang, Chen;  Wang, Genhou;  Zhang, Geli;  Cui, Yifeng;  Zhang, Xi   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/05/06 inland freshwater aquaculture  aquaculture ponds  rice-crawfish fields  machine learning classifiers  Google Earth Engine   Study on Spatio-Temporal Patterns of Commuting under Adverse Weather Events: Case Study of Typhoon In-Fa 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2024, 卷号: 13, 期号: 2, 页码: 50 作者:  Ji, Tao;  Huang, Xian;  Shao, Jinliang;  Zhu, Yunqiang;  Deng, Shejun   |  收藏  |  浏览/下载：16/0  |  提交时间：2024/04/08 accessibility  feature of spatio-temporal evolution  extreme weather events  typhoon In-Fa  main urban area of Yangzhou City   Multi-Temporal Sentinel-1 and Sentinel-2 Data for Orchards Discrimination in Khairpur District, Pakistan Using Spectral Separability Analysis and Machine Learning Classification 期刊论文  OAI收割 REMOTE SENSING, 2024, 卷号: 16, 期号: 4, 页码: 21 作者:  Rehman, Arif Ur;  Zhang, Lifu;  Sajjad, Meer Muhammad;  Raziq, Abdur   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/04/19 multi-temporal  spectral separability  orchard classification  random forest  support vector machine   An inversion model of microplastics abundance based on satellite remote sensing: a case study in the Bohai Sea 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 909, 页码: 11 作者:  Hong, Pingping;  Xiao, Jingen;  Liu, Hongtao;  Niu, Zhiguang;  Ma, Yini   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/01/26 Microplastics  Remote sensing  Inversion model  Abundance  Bohai Sea   Rapid Determination of Positive-Negative Bacterial Infection Based on Micro-Hyperspectral Technology 期刊论文  OAI收割 SENSORS, 2024, 卷号: 24, 期号: 2 作者:  Du, Jian;  Tao, Chenglong;  Qi, Meijie;  Hu, Bingliang;  Zhang, Zhoufeng   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/03/04 micro-hyperspectral technology  bacterial infection  positive-negative determination  spectral feature  directly smeared urine sample  deep learning