机构

• 地理科学与资源研究... [11]
• 力学研究所 [5]
• 计算技术研究所 [2]
• 自动化研究所 [2]
• 地质与地球物理研究所 [1]
• 广州地球化学研究所 [1]
• 更多

采集方式

• OAI收割 [27]

内容类型

• 期刊论文 [26]
• 学位论文 [1]

发表日期

• 2025 [1]
• 2024 [6]
• 2023 [4]
• 2022 [3]
• 2021 [4]
• 2020 [1]
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浏览/检索结果: 共27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 Analysis of the Driving Mechanism of Grassland Degradation in Inner Mongolia Grassland from 2015 to 2020 Using Interpretable Machine Learning Methods 期刊论文  OAI收割 LAND, 2025, 卷号: 14, 期号: 2, 页码: 386 作者:  Zhang, Zuopei;  Hu, Yunfeng;  Batunacun   |  收藏  |  浏览/下载：8/0  |  提交时间：2025/04/21 machine learning  grassland degradation  driving factors  SHAP method  climate change   Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture 期刊论文  OAI收割 ECOLOGICAL INFORMATICS, 2024, 卷号: 84, 页码: 102875 作者:  Zhang, Mo;  Ge, Yong;  Wang, Jianghao   |  收藏  |  浏览/下载：8/0  |  提交时间：2024/12/20 Dual-drive method  Genetic algorithm  Machine learning  Soil moisture analytical relationship model  Soil moisture downscaling   A General Framework for Retrieving Land Surface Emissivity and Temperature Using Sensors With Split-Window Thermal Infrared Channels: A Case Study With Landsat 9 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 5008012 作者:  Li, Xiu-Juan;  Wu, Hua;  Ni, Li;  Cheng, Yuan-Liang;  Zhang, Xing-Xing   |  收藏  |  浏览/下载：5/0  |  提交时间：2025/01/17 Landsat  Land surface temperature  Land surface  Accuracy  Temperature sensors  Spatial resolution  Soil  Grasslands  Atmospheric modeling  Vegetation mapping  Land surface emissivity (LSE)  land surface temperature (LST)  Landsat 9  machine learning  split-window (SW) method   Determining plastic slips in rate-independent crystal plasticity models through machine learning algorithms 期刊论文  OAI收割 EXTREME MECHANICS LETTERS, 2024, 卷号: 71, 页码: 13 作者:  Wang ZW(王志文);  Chen XJ(陈贤佳);  Wen JC(温济慈);  Wei YJ(魏宇杰)   |  收藏  |  浏览/下载：11/0  |  提交时间：2024/09/09 Machine learning  Crystal plasticity  Slip system  Taylor criterion  Maximum dissipation  Finite element method   Parallel ensemble Kalman method with total variation regularization for large-scale field inversion 期刊论文  OAI收割 JOURNAL OF COMPUTATIONAL PHYSICS, 2024, 卷号: 509, 页码: 18 作者:  Zhang XL(张鑫磊);  Zhang L(张磊);  He GW(何国威)   |  收藏  |  浏览/下载：7/0  |  提交时间：2024/07/04 Ensemble Kalman method  Parallel implementation  Field inversion  Data assimilation  Machine learning   Machine Learning-Accelerated First-Principles Study of Atomic Configuration and Ionic Diffusion in Li10GeP2S12 Solid Electrolyte 期刊论文  OAI收割 MATERIALS, 2024, 卷号: 17, 期号: 8, 页码: 14 作者:  Qi, Changlin;  Zhou, Yuwei;  Yuan XZ(袁晓泽);  Peng Q(彭庆);  Yang, Yong   |  收藏  |  浏览/下载：16/0  |  提交时间：2024/05/27 Li10GeP2S12 solid electrolyte  first-principles calculation  Ewald-summation-based electrostatic energy  machine learning- and active-learning-based LAsou method  ab initio molecular dynamics   Data augmented prediction of Reynolds stresses for flows around an axisymmetric body of revolution 期刊论文  OAI收割 OCEAN ENGINEERING, 2024, 卷号: 296, 页码: 14 作者:  Liu, Yi;  Wang, Shizhao;  Zhang, Xin-Lei;  He, Guowei;  He GW(何国威)   |  收藏  |  浏览/下载：218/0  |  提交时间：2024/05/21 Ensemble Kalman method  Machine learning  Turbulence modeling  SUBOFF model   Identification and verification of PCDD/Fs indicators from four typical large-scale municipal solid waste incinerations with large sample size in China 期刊论文  OAI收割 WASTE MANAGEMENT, 2023, 卷号: 172, 页码: 101-107 作者:  Liu, Lijun;  Chen, Xichao;  Yin, Wenhua;  Wu, Hao;  Huang, Junbin   |  收藏  |  浏览/下载：12/0  |  提交时间：2024/09/14 MSWI  Emissions  Indicator  Traditional statistical method  Machine learning method   Explainability analysis of neural network-based turbulence modeling for transonic axial compressor rotor flows 期刊论文  OAI收割 AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 141, 页码: 108542 作者:  Wu CT(吴楚畋);  Wang SZ(王士召);  Zhang XL(张鑫磊);  He GW(何国威)   |  收藏  |  浏览/下载：28/0  |  提交时间：2023/09/26 Explainability  Ensemble Kalman method  Turbulence model  Axial compressor rotor  Neural network  Machine learning   A new prediction method of industrial atmospheric pollutant emission intensity based on pollutant emission standard quantification 期刊论文  OAI收割 FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING, 2023, 卷号: 17, 期号: 1, 页码: 11 作者:  Ju, Tienan;  Lei, Mei;  Guo, Guanghui;  Xi, Jinglun;  Zhang, Yang   |  收藏  |  浏览/下载：38/0  |  提交时间：2022/09/26 Industrial atmospheric pollutants  Pollutant emission standards  Quantitative method  Machine learning  Single enterprise