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浏览/检索结果: 共3590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 Chinese urban carbon emissions with a graph-based multi-branch deep learning framework 期刊论文  OAI收割 GISCIENCE & REMOTE SENSING, 2026, 卷号: 63, 期号: 1, 页码: 2631837 作者:  Shao, Wei;  Tu, Yue   |  收藏  |  浏览/下载：2/0  |  提交时间：2026/03/16 Carbon dioxide emissions  graph neural network  deep learning  economic-emission coupling  influencing factors   Hierarchical perception guided deep learning framework for landslide detection with multi-source remotely sensed data 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2026, 卷号: 19, 期号: 1, 页码: 2632415 作者:  Zhong, Chencheng;  Chen, Jifa;  Chen, Gang;  Yang, Lu;  Tao, Lizhi   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/03/16 Landslide detection  hierarchical perception  deep learning  wavelet transform  multi-source remote sensing   Integrating eco-biogeographical knowledge into deep learning: An approach for fine-grained mountain vegetation classification 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2026, 卷号: 338, 页码: 115346 作者:  Yao, Yonghui;  Liu, Yulian   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/04/16 Deep learning  Eco-biogeographical knowledge  Mountain vegetation knowledge graph  Similarity calculation  Vegetation formation classification   Linking hypolimnion to epilimnion in a stratified arctic lake: Machine learning-based estimation of hypolimnetic water quality from epilimnetic measurements 期刊论文  OAI收割 WATER RESEARCH, 2026, 卷号: 294, 页码: 125367 作者:  Mahdian, Mehran;  Noori, Roohollah;  Saravani, Mohammad Javad;  Shahvaran, Ali Reza;  Shahmohammad, Mohsen   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/03/16 Deep-water quality  Hypolimnion  Machine learning  Deep learning  Lake Inari  Arctic lakes   A physics-driven hybrid transformer model for hydrologic simulation under nonstationary environmental conditions 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2026, 卷号: 669, 页码: 135133 作者:  Zhang, Hongwei;  Tao, Zexing;  Wang, Kaiwen;  Zhao, Gang;  Chen, Jiewei   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/03/16 Time-varying parameters  Nonstationary hydrologic processes  Physics-driven deep learning   Cognition-inspired multimodal attention fusion of close-range laser scanning data for globally representative tree species classification 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2026, 卷号: 335, 页码: 115269 作者:  Luo, Xin;  Tian, Xin;  Liang, Xinlian;  Mokros, Martin;  Chai, GuoQi   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/04/16 Tree species classification  Close-range sensing  Multimodal fusion  Deep learning  Attention mechanism  Forest remote sensing   FPUNet: A Fourier-Enhanced U-Net for Robust 2-D Phase Unwrapping of Noisy InSAR Interferograms 期刊论文  OAI收割 REMOTE SENSING, 2026, 卷号: 18, 期号: 5, 页码: 808 作者:  He, Yuxiao;  Wu, Yuming;  Gao, Xing   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/04/16 phase unwrapping (PU)  interferometric synthetic aperture radar (InSAR)  deep learning  Fourier-enhanced U-Net  composite loss   A multi-defect detection framework for sweet potato based on feature fusion and adaptive attention under complex postharvest conditions 期刊论文  OAI收割 JOURNAL OF STORED PRODUCTS RESEARCH, 2026, 卷号: 116, 页码: 14 作者:  Guo, Xinyu;  Zhang, Jian;  Xiong, Haitao;  Zhang, Tao;  Yang, Ranbing   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/02/11 Sweet potato  Defect detection  Quality assurance  Deep learning   Integration of deep learning and improved multi-objective algorithm to optimize cascade reservoirs operation with consideration of ecological dissolved oxygen needs 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2026, 卷号: 667, 页码: 134899 作者:  Zhu, Zhaoyang;  Li, Haoran;  Wang, Zhaocai;  Zhang, Xingxing;  Tan, Zuowen   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/02/09 Cascade reservoirs  Multi-objective trade-off  Ecological dissolved oxygen (DO)  Deep learning  Pareto front   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：0/0  |  提交时间：2026/02/09 CO 2 concentration  Deep learning  Centroid trajectories  Anthropogenic carbon emissions  Data reconstruction