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浏览/检索结果: 共1207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 Estimation of soil organic matter in mollisols based on artificial intelligence 期刊论文  OAI收割 ECOLOGICAL INFORMATICS, 2025, 卷号: 90, 页码: 12 作者:  Cui, Shihao;  Zhou, Meng;  Yu, He;  Xie, Xiongze;  Xiao, Leilei   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/10/14 Soil nutrients  Soil fertility  Machine learning  Deep neural networks  Non-destructive testing   A framework for learning symbolic turbulence models from indirect observation data via neural networks and feature importance analysis 期刊论文  OAI收割 JOURNAL OF COMPUTATIONAL PHYSICS, 2025, 卷号: 537, 页码: 22 作者:  Wu CT(吴楚畋);  Zhang XL(张鑫磊);  Xu D(徐多);  He GW(何国威)   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/08/18 Turbulence model  Ensemble Kalman method  Symbolic regression  Feature importance analysis  Neural networks   Determination of Fluorescent Dissolved Organic Matter Using Three-Dimensional Fluorescence Spectroscopy and Convolutional Neural Networks 期刊论文  OAI收割 JOURNAL OF APPLIED SPECTROSCOPY, 2025, 页码: 11 作者:  Yang, Jianlian;  Feng, Weiwei;  Cai, Zongqi;  Wang, Huanqing;  Liang, Xinghui   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/10/14 fluorescent dissolved organic matter  convolutional neural networks  excitation-emission matrix spectra  self-weighting alternating trilinear decomposition  quantification   Deep Learning With ERA5 Variables Accurately Simulates Near-Surface Wind Speed Variations Across a Complex Terrain Region 期刊论文  OAI收割 GEOPHYSICAL RESEARCH LETTERS, 2025, 卷号: 52, 期号: 12, 页码: e2025GL116108 作者:  Long, Zhiyi;  Zha, Jinlin;  Zhang, Hao;  Chuan, Ting;  Lu, Wenxi   |  收藏  |  浏览/下载：14/0  |  提交时间：2025/07/18 wind speed  deep learning  complex terrain region  Tibetan Plateau  transformer  convolutional neural networks   六种机器学习算法对西藏那曲草甸土土壤剖面温度的模拟效果对比 期刊论文  OAI收割 中国农业气象, 2025, 卷号: 46, 期号: 06, 页码: 781-795 作者:  徐俊杰;  于一雷;  杨丽虎;  李文彦;  吕翠翠   |  收藏  |  浏览/下载：18/0  |  提交时间：2025/07/04 Soil temperature  Machine learning  Neural networks  Forecast  Random forest  Xizang Naqu   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：10/0  |  提交时间：2025/06/27 Physics-informed deep learning  Tunnel  Neural networks  Seepage  Nonhomogeneous porous media   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：18/0  |  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   Multiplex graph fusion network with reinforcement structure learning for fraud detection in online e-commerce platforms 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2025, 卷号: 262, 页码: 12 作者:  Zhang, Zheng;  Ao, Xiang;  Tessone, Claudio J.;  Liu, Gang;  Zhou, Mingyang   |  收藏  |  浏览/下载：33/0  |  提交时间：2024/12/06 Fraud detection  Graph neural networks  Graph structure learning  Metapath  Multigraph fusion   Advanced Permeability Prediction Through Two-Dimensional Geological Feature Image Extraction with CNN Regression from Well Logs Data 期刊论文  OAI收割 MATHEMATICAL GEOSCIENCES, 2025, 页码: 46 作者:  Hussain, Wakeel   |  收藏  |  浏览/下载：18/0  |  提交时间：2025/06/27 Machine learning  Convolutional neural networks  Geophysical logs  2D geological feature image  Permeability   SPMGAE: Self-purified masked graph autoencoders release robust expression power 期刊论文  OAI收割 NEUROCOMPUTING, 2025, 卷号: 611, 页码: 14 作者:  Song, Shuhan;  Li, Ping;  Dun, Ming;  Zhang, Yuan;  Cao, Huawei   |  收藏  |  浏览/下载：30/0  |  提交时间：2024/12/06 Graph neural networks  Masked graph autoencoders  Robustness  Graph adversarial attacks