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浏览/检索结果: 共273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 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：17/0  |  提交时间：2025/10/14 Soil nutrients  Soil fertility  Machine learning  Deep neural networks  Non-destructive testing   An integrated simulation-learning framework for rapid prediction of regional snow avalanche runout and hazard metrics 期刊论文  OAI收割 ENGINEERING GEOLOGY, 2025, 卷号: 357, 页码: 108373 作者:  Guo, Jian;  Li, Yao;  Hao, Jiansheng;  Zhang, Zhao   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/11/17 Snow avalanche  Deep neural networks (DNN)  Dynamic simulations  Machine learning  Hazard mapping  Early warning   Accelerating fluid simulations with graph convolution network predicted flow fields 期刊论文  OAI收割 AEROSPACE SCIENCE AND TECHNOLOGY, 2025, 卷号: 164, 页码: 12 作者:  Lim, Wei Xian;  Jessica, Loh Sher En;  Lv Y(吕钰);  Kong, Adams WaiKin;  Chan, Wai Lee   |  收藏  |  浏览/下载：15/0  |  提交时间：2025/08/18 Deep learning  Graph convolution networks  Reynolds-averaged Navier-Stokes simulations  Flow initialization   Deep neural network based on adversarial training for short-term high-resolution precipitation nowcasting from radar echo images 期刊论文  OAI收割 JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2025, 页码: 14 作者:  Yang, Ruikai;  Jiao, Shuangjian;  Yang, Nan   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/12/09 precipitation nowcasting  deep learning  Simple Parameter-Free Attention Module (SimAM)  Generative Adversarial Networks (GANs)   Monitoring paddy rice cultivation adjustments in Northeast China through time series remote sensing and deep learning 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2025, 卷号: 142, 页码: 104739 作者:  Wang, Shihao;  Huang, Chong;  Huang, Lingxiao;  Xu, Xinliang;  Shi, Huading   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/09/22 Paddy rice  Agricultural policy  Deep learning  Deep neural networks   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：30/0  |  提交时间：2025/07/18 wind speed  deep learning  complex terrain region  Tibetan Plateau  transformer  convolutional neural networks   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   Fast scanning pattern selection in laser directed energy deposition via simulation data-driven based deep regression method 期刊论文  OAI收割 JOURNAL OF MANUFACTURING PROCESSES, 2025, 卷号: 133, 页码: 367-379 作者:  Ma, Liang;  Kong, Xiangwei;  Cheng, Liu;  Liang, Jingjing;  Li, Jinguo   |  收藏  |  浏览/下载：0/0  |  提交时间：2025/04/27 Laser directed energy deposition  3D regression networks  Deep learning  Texture  Scanning pattern selection  Thermal field prediction   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   ACWCD: Utilizing Inherent Transformers Information and Prior Knowledge for Weakly Supervised Change Detection 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 4402614 作者:  Liu, Wenhao;  Yu, Zhuoyuan;  Luo, Bin   |  收藏  |  浏览/下载：33/0  |  提交时间：2025/03/18 Cams  Transformers  Feature extraction  Neural networks  Training  Data mining  Remote sensing  Refining  Deep learning  Decoding  Change detection (CD)  class activation maps (CAMs)  deep learning  high-resolution images  multihead self-attention (MHSA)  prior knowledge  transformers  weakly supervised learning