机构

• 力学研究所 [9]
• 数学与系统科学研究院 [6]
• 烟台海岸带研究所 [3]
• 金属研究所 [2]
• 武汉岩土力学研究所 [2]
• 地理科学与资源研究所 [1]
• 更多

采集方式

• OAI收割 [26]

内容类型

• 期刊论文 [24]
• CNKI期刊论文 [1]
• 会议论文 [1]

发表日期

• 2025 [7]
• 2024 [5]
• 2023 [4]
• 2022 [4]
• 2021 [4]
• 2020 [2]
• 更多

学科主题

• 天文学 [1]
• 天文学::天体测量学 [1]

筛选

浏览/检索结果: 共26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 Knowledge-informed deep learning to mitigate bias in joint air pollutant prediction 期刊论文  OAI收割 ENVIRONMENT INTERNATIONAL, 2025, 卷号: 206, 页码: 109915 作者:  Li, Lianfa;  Khalili, Roxana;  Lurmann, Frederick;  Pavlovic, Nathan;  Wu, Jun   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/01/21 Deep learning  Physics-informed modeling  Air pollution  Knowledge fusion  Bias mitigation  Joint prediction   Perturbation Orbit Prediction Method Based on Physics-Informed ResNet 会议论文  OAI收割 Harbin, China, 2025-08-02 作者:  Zhao, Meng;  Shu P(舒鹏);  Yang, Zhen;  Luo, Yazhong   |  收藏  |  浏览/下载：1/0  |  提交时间：2026/01/12 Orbit Prediction  Two  Body Orbital Dynamics  J2 Perturbation  Physics  Informed Neural Networks (PINNs)  Residual Neural Network (ResNet)  Automatic Differentiation   Three-dimensional seepage analysis for the tunnel in nonhomogeneous porous media with physics-informed deep learning 期刊论文  OAI收割 ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, 2025, 卷号: 175, 页码: 12 作者:  Lin, Shan;  Dong, Miao;  Luo, Hongming;  Guo, Hongwei;  Zheng, Hong   |  收藏  |  浏览/下载：29/0  |  提交时间：2025/06/27 Physics-informed deep learning  Tunnel  Neural networks  Seepage  Nonhomogeneous porous media   Sparse wavefield reconstruction based on Physics-Informed neural networks 期刊论文  OAI收割 ULTRASONICS, 2025, 卷号: 149, 页码: 12 作者:  Xu, Bin;  Zou, Yun;  Sha, Gaofeng;  Yang, Liang;  Cai, Guixi   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27 Physics-Informed Neural Networks  Wavefield Reconstruction  Laser Ultrasonic  Non-destructive Testing   Knowledge-Based Machine learning for Real-Time rock strength testing while Drilling: Bridging Simulation and Reality 期刊论文  OAI收割 MEASUREMENT, 2025, 卷号: 246, 页码: 17 作者:  Bai, Jun;  Wang, Sheng;  Liu, Liu;  Xu, Zhengxuan;  Li, Shaojun   |  收藏  |  浏览/下载：43/0  |  提交时间：2025/06/27 Intelligent Real-time  In-situ Rock Strength Testing  Physics-Informed Machine Learning  Explainable AI Methods  Multi-Scenario Adaptability   Direct numerical simulation of natural convection based on parameter-input physics-informed neural networks 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2025, 卷号: 236, 页码: 126379 作者:  Ye,Shuran;  Huang JL(黄剑霖);  Zhang, Zhen;  Wang YW(王一伟);  Huang CG(黄晨光)   |  收藏  |  浏览/下载：38/0  |  提交时间：2024/12/02 Natural convection  Physics-informed neural networks  Parameter-input PINNs  Ra number  Deep learning   Research on Long-Term Time Series Chlorophyll Concentration Inversion Method Based on Multisensor Consistency Transformation 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: 28409-28421 作者:  Qin, Yina;  Cui, Jianyong;  Guo, Jie;  Liu, Shanwei;  Wang, Xiaoqing   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/12/24 Sensors  Remote sensing  Monitoring  Sea measurements  Reflectivity  Spatiotemporal phenomena  Spatial resolution  Oceans  Biological system modeling  Water quality  Consistency transformation  geostationary ocean color imager (GOCI)-I and GOCI-II satellite  inversion of chlorophyll-a (Chl-a)  long time series  physics-informed neural network (PINN)   Leveraging physics-informed neural networks for wavefield analysis in laser ultrasonic testing 期刊论文  OAI收割 NONDESTRUCTIVE TESTING AND EVALUATION, 2024, 页码: 23 作者:  Li, Yang;  Xu, Bin;  Zou, Yun;  Sha, Gaofeng;  Cai, Guixi   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27 Physics-informed neural networks  wavefield reconstruction  wavefield prediction  laser ultrasonic  non-destructive testing   AsPINN: Adaptive symmetry-recomposition physics-informed neural networks 期刊论文  OAI收割 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2024, 卷号: 432, 页码: 34 作者:  Liu ZT(刘子提);  Liu Y(刘洋);  Yan, Xunshi;  Liu W(刘文);  Guo SQ(郭帅旗)   |  收藏  |  浏览/下载：45/0  |  提交时间：2024/11/01 Network structure  Parameter-sharing  Feature-enhanced physics-informed neural  networks  Symmetry decomposition   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