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• 自动化研究所 [12]
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• OAI收割 [123]
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• 期刊论文 [91]
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筛选

浏览/检索结果: 共126条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择作者升序作者降序发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序 Mapping daily 1-km resolution XCO2 in China using deep learning and multi-source data 期刊论文  OAI收割 RESOURCES CONSERVATION AND RECYCLING, 2026, 卷号: 227, 页码: 108755 作者:  Shao, Wei;  Yue, Tianxiang;  Zhang, Lili;  Tian, Wenjie;  Wang, Hao   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/02/09 CO 2 concentration  Deep learning  Centroid trajectories  Anthropogenic carbon emissions  Data reconstruction   UEPA-GAN: An Unsupervised Framework for Daily Precipitation Downscaling 期刊论文  OAI收割 IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2026, 卷号: 23, 页码: 1501605 作者:  Mo, Jinlin;  Zhang, Xun;  Wang, Fang;  Liu, Yu   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 Precipitation  Generators  Image reconstruction  Training  Spatial resolution  Climate  Computer architecture  Generative adversarial networks  Data models  Artificial intelligence  Extreme precipitation attention (EPA)  GAN  physical constraint  precipitation downscaling  unsupervised   PREP: A software for assessing and visualizing seasonal and spatial representativeness of climate proxies 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2025, 卷号: 194, 页码: 106702 作者:  Liu, Yang;  Gao, Yiwen;  Zheng, Jingyun   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/11/17 Climate proxy  Data visualization  Seasonal and spatial representativeness  Historical temperature reconstruction   Bayesian analysis for varying coefficient autoregressive models 期刊论文  OAI收割 JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2025, 卷号: N/A 作者:  Wu, Ying;  Xiong, Shifeng;  Tang, Zhipeng   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/09/22 Gaussian process  massive data  reconstruction parameterization  uncertainty quantification   Reanalysis Data Sets Underestimate the 1928-29 Summer Precipitation Deficits During the Late-1920s Megadrought in Northern China 期刊论文  OAI收割 GEOPHYSICAL RESEARCH LETTERS, 2025, 卷号: 52, 期号: 11, 页码: 14 作者:  Fang, Congxi;  Liu, Yu;  Sun, Changfeng;  Song, Huiming;  Su, Lijun   |  收藏  |  浏览/下载：24/0  |  提交时间：2025/08/18 precipitation reconstruction  drought  tree-ring  reanalysis data  Loess Plateau   Robust Fault-Tolerant Flush Air Data Sensing Algorithm via Incorporating Physical Knowledge 期刊论文  OAI收割 IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2025, 卷号: 61, 期号: 2, 页码: 4329-4342 作者:  Liu Y(刘洋);  Yang WC(杨文超);  Liu W(刘文);  Yan, Xunshi;  Liu ZT(刘子提)   |  收藏  |  浏览/下载：34/0  |  提交时间：2025/07/21 Layout  Sensors  Pressure measurement  Fault tolerant systems  Fault tolerance  Aerodynamics  Atmospheric modeling  Mathematical models  Data models  Surface reconstruction  Fault diagnosis  flush air data sensing (FADS)  incorporates physical knowledge  neural networks  robust fault tolerance   The Examination of an Improved Analogue Method for Gridded Temperature Variation Reconstruction 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2025, 卷号: N/A 作者:  Zhang, Xuezhen;  Yan, Xiaoyue;  Wu, Maowei;  Zheng, Jingyun   |  收藏  |  浏览/下载：42/0  |  提交时间：2025/04/21 analogue method  climate modelling data  pre-instrumental temperature reconstruction  proxy data   Research on Cross-Sensor Remote Sensing Image Super-Resolution Method Based on Diffusion Models 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 卷号: 18, 页码: 18528-18542 作者:  Miao, Ru;  Yang, Kai;  Zhou, Ke;  Song, Jia;  Fu, Shihao()   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/09/22 Diffusion models  Image reconstruction  Noise  Training  Remote sensing  Feature extraction  Imaging  Image restoration  Degradation  Data models  Deep learning  diffusion models  generative models  remote sensing  super-resolution (SR)   U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal 期刊论文  OAI收割 GISCIENCE & REMOTE SENSING, 2024, 卷号: 61, 期号: 1, 页码: 19 作者:     |  收藏  |  浏览/下载：90/0  |  提交时间：2024/04/19 Missing information reconstruction  optical time series data  SAR-to-optical translation  spatiotemporal mapping  deep learning   A framework of data assimilation for wind flow fields by physics-informed neural networks 期刊论文  OAI收割 APPLIED ENERGY, 2024, 卷号: 371, 页码: 18 作者:  Yan C(闫畅);  Xu SF(许盛峰);  Sun ZX(孙振旭);  Lutz, Thorsten;  Guo DL(郭迪龙)   |  收藏  |  浏览/下载：40/0  |  提交时间：2024/11/22 Data assimilation  Wind field reconstruction  Physics-informed deep learning