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浏览/检索结果: 共173条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序作者升序作者降序题名升序题名降序发表日期升序发表日期降序 Urban building-level positioning using data-driven algorithms enhanced by spatial variations in sensor features 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2025, 卷号: 18, 期号: 1, 页码: 2512410 作者:  Zhang, Die;  Liu, Xin;  Ge, Yong;  Wei, Yixi;  Liu, Mengxiao   |  收藏  |  浏览/下载：8/0  |  提交时间：2025/07/18 Indoor/outdoor differentiation  building matching  data-driven positioning  spatial analysis  location recognition   A universal yet easy-to-use data-driven method for angular normalization of directional land surface temperatures acquired from polar orbiters across global cities 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2025, 卷号: 328, 页码: 114840 作者:  Du, Huilin;  Zhan, Wenfeng;  Liu, Zihan;  Wang, Chenguang;  Huang, Fan   |  收藏  |  浏览/下载：12/0  |  提交时间：2025/07/18 Thermal remote sensing  Land surface temperature  Urban thermal anisotropy  Angular normalization  Data-driven approach   A data-driven approach to identify the optimal sub-laminates for homogeneity design under the concept of double-double composites 期刊论文  OAI收割 COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING, 2025, 卷号: 195, 页码: 16 作者:  Qiu C(邱诚);  Song HW(宋宏伟);  Yang, Jinglei   |  收藏  |  浏览/下载：12/0  |  提交时间：2025/06/23 Laminate optimization  Data-driven method  Double-double laminate  Homogeneous design   Monitoring data-driven updating post-assessment of the effectiveness of anti-slide piles for colluvial slope stabilization 期刊论文  OAI收割 BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT, 2025, 卷号: 84, 期号: 5, 页码: 20 作者:  Liu, Yibiao;  Liu, Bin   |  收藏  |  浏览/下载：16/0  |  提交时间：2025/06/27 Data-driven  Colluvial slope  Anti-pile  Back-analysis  Stability analysis   Mutual-information-based dimensional learning: Objective algorithms for identification of relevant dimensionless quantities 期刊论文  OAI收割 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2025, 卷号: 440, 页码: 117922 作者:  Zhang L(张磊);  He GW(何国威)   |  收藏  |  浏览/下载：9/0  |  提交时间：2025/07/21 Data-driven dimensional analysis  Mutual information  Objectivity  Machine learning   Multi-source data-driven conjugate Bayesian inference of the distributions of soil shear strength parameter moments 期刊论文  OAI收割 PROBABILISTIC ENGINEERING MECHANICS, 2025, 卷号: 80, 页码: 24 作者:  Liu, Yibiao;  Ren, Weizhong   |  收藏  |  浏览/下载：11/0  |  提交时间：2025/06/27 Data-driven  Bayesian inference  Shear strength parameters  Statistics   Quantitative assessment of the GLOF risk along China-Nepal transboundary basins by integrating remote sensing, machine learning, and hydrodynamic model 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2025, 卷号: 118, 页码: 20 作者:  Gouli, Manish Raj;  Hu, Kaiheng;  Khadka, Nitesh;  Liu, Shuang;  Yifan, Shu   |  收藏  |  浏览/下载：20/0  |  提交时间：2025/03/24 GLOF risk  Data-driven  Quantitative  Transboundary  China-Nepal   Physics-enhanced data-driven turbulence model for flow around submerged bodies 期刊论文  OAI收割 OCEAN ENGINEERING, 2025, 卷号: 315, 页码: 13 作者:  Zhang,Zhen;  Li,Haohan;  Ye SR(叶舒然);  Wang JZ(王静竹);  Wang YW(王一伟)   |  收藏  |  浏览/下载：18/0  |  提交时间：2025/01/06 Data-driven  Physical enhancement  Turbulence model  Combined neural network   Long-term open-pit mining activities at the world's largest light rare earth mine significantly affect light rare earth elements in road dust over long distances 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2024, 卷号: 480, 页码: 136287 作者:  Han, Xiaoxiao;  Xiong, Zhunan;  Wang, Siyu;  Wang, Lingqing;  Liang, Tao   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/12/20 Road dust  Long-range impacts  Bayan Obo deposit  Comprehensive data-driven framework  Light rare earth elements   Learnable faster kernel-PCA for nonlinear fault detection: Deep autoencoder-based realization 期刊论文  OAI收割 JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2024, 卷号: 40, 页码: 13 作者:  Ren, Zelin;  Jiang, Yuchen;  Yang, Xuebing;  Tang, Yongqiang;  Zhang, Wensheng   |  收藏  |  浏览/下载：52/0  |  提交时间：2024/07/22 Kernel Principal Component Analysis (KPCA)  Fault detection  Process monitoring  Autoencoder  Data-driven