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浏览/检索结果: 共164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 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：5/0  |  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：5/0  |  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：3/0  |  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：29/0  |  提交时间：2024/07/22 Kernel Principal Component Analysis (KPCA)  Fault detection  Process monitoring  Autoencoder  Data-driven   Design and Modeling of an Integral Molding Flexible Tail for Robotic Fish 期刊论文  OAI收割 IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2024, 页码: 11 作者:  Tong, Ru;  Wu, Zhengxing;  Li, Sijie;  Chen, Di;  Wang, Jian   |  收藏  |  浏览/下载：19/0  |  提交时间：2024/07/22 Data-driven modeling  flexibility optimization  integral molding flexible tail  predictive network  robotic fish  underwater robot   A Deep Learning Method for Dynamic Process Modeling of Real Landslides Based on Fourier Neural Operator 期刊论文  OAI收割 EARTH AND SPACE SCIENCE, 2024, 卷号: 11, 期号: 3, 页码: 13 作者:  Chen, Yanglong;  Ouyang, Chaojun;  Xu, Qingsong;  Yang, Weibin   |  收藏  |  浏览/下载：9/0  |  提交时间：2024/04/19 deep learning  landslide  dynamic process  Fourier neural operator  data-driven method   Clustering dimensionless learning for multiple-physical-regime systems 期刊论文  OAI收割 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2024, 卷号: 420, 页码: 21 作者:  Zhang, Lei;  Xu, Zhaoyue;  Wang, Shizhao;  He, Guowei;  He GW(何国威)   |  收藏  |  浏览/下载：42/0  |  提交时间：2024/03/11 Cluster  Active subspace  Data-driven dimensional analysis  Machine learning   An Urban Trajectory Data-Driven Approach for COVID-19 Simulation 期刊论文  OAI收割 IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 页码: 10 作者:  Li, Zhishuai;  Xiong, Gang;  Lv, Yisheng;  Ye, Peijun;  Liu, Xiaoli   |  收藏  |  浏览/下载：10/0  |  提交时间：2024/07/03 Coronavirus disease 2019 (COVID-19)  data-driven epidemic simulation  trajectory  transportation big data   Robustly uncovering the heterogeneity of neurodegenerative disease by using data-driven subtyping in neuroimaging: A review 期刊论文  OAI收割 BRAIN RESEARCH, 2024, 卷号: 1823, 页码: 13 作者:  Chen, Pindong;  Zhang, Shirui;  Zhao, Kun;  Kang, Xiaopeng;  Rittman, Timothy   |  收藏  |  浏览/下载：18/0  |  提交时间：2024/02/22 Neurodegenerative diseases  Alzheimer's disease  Heterogeneity  Subtype  Data-driven   Recent Progress in Reinforcement Learning and Adaptive Dynamic Programming for Advanced Control Applications 期刊论文  OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 18-36 作者:  Ding Wang;  Ning Gao;  Derong Liu;  Jinna Li;  Frank L. Lewis   |  收藏  |  浏览/下载：33/0  |  提交时间：2024/01/02 Adaptive dynamic programming (ADP)  advanced control  complex environment  data-driven control  event-triggered design  intelligent control  neural networks  nonlinear systems  optimal control  reinforcement learning (RL)