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浏览/检索结果: 共126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发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Global reconstruction of gridded aridity index and its spatial and temporal characterization from 2003 to 2022 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2025, 卷号: 18, 期号: 1, 页码: 2473639 作者:  Lu, Jiaying;  Yao, Ling;  Qin, Jun;  Jiang, Hou;  Zhou, Chenghu   |  收藏  |  浏览/下载：77/0  |  提交时间：2025/04/21 Global drought  aridity index  climate change  remote sensing  ensemble learning   Comparison and integration of hydrological models and machine learning models in global monthly streamflow simulation 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2025, 卷号: 650, 页码: 17 作者:  Zhang, Jiawen;  Kong, Dongdong;  Li, Jianfeng;  Qiu, Jianxiu;  Zhang, Yongqiang   |  收藏  |  浏览/下载：16/0  |  提交时间：2025/03/31 Streamflow simulation  Machine learning  Hydrological model  Multi-model weighting ensemble   Advancing forest fire prediction: A multi-layer stacking ensemble model approach 期刊论文  OAI收割 EARTH SCIENCE INFORMATICS, 2025, 卷号: 18, 期号: 3, 页码: 270 作者:  Shahzad, Fahad;  Mehmood, Kaleem;  Anees, Shoaib Ahmad;  Adnan, Muhammad;  Muhammad, Sultan   |  收藏  |  浏览/下载：16/0  |  提交时间：2025/03/18 Forest fire  Multi-layer ensemble model  Machine learning  Probability mapping  Malakand division   Fatigue Short Crack Growth Prediction of Additively Manufactured Alloy Based on Ensemble Learning 期刊论文  OAI收割 FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 2025, 页码: 19 作者:  Huang QH(黄庆辉);  Hu, Dianyin;  Wang, Rongqiao;  Sergeichev, Ivan;  Sun JY(孙经雨)   |  收藏  |  浏览/下载：9/0  |  提交时间：2025/02/24 ensemble learning  fatigue life  interpolation  multiple crack initiation  short crack growth rate   Decomposing spatio-temporal heterogeneity: Matrix-informed ensemble learning for interpretable prediction 期刊论文  OAI收割 KNOWLEDGE-BASED SYSTEMS, 2025, 卷号: 309, 页码: 112906 作者:  Wang, Lizeng;  Cheng, Shifen;  Lu, Feng   |  收藏  |  浏览/下载：7/0  |  提交时间：2025/02/24 Spatio-temporal prediction  Ensemble learning  Spatio-temporal heterogeneity  Matrix decomposition  Explainable artificial intelligence   Ensemble machine learning-based extrapolation of Penman-Monteith-Leuning evapotranspiration data 期刊论文  OAI收割 ECOLOGICAL INDICATORS, 2025, 卷号: 170, 页码: 22 作者:  Nourani, Vahid;  Ahmadi, Ramin;  Zhang, Yongqiang;  Dabrowska, Dominika   |  收藏  |  浏览/下载：11/0  |  提交时间：2025/03/31 Evapotranspiration  PML-V2  Sensitivity analysis  Machine learning  Neural ensemble technique  Ahar Chay Basin  Seto mixed forest site   Interpretable multi-step hybrid deep learning model for karst spring discharge prediction: Integrating temporal fusion transformers with ensemble empirical mode decomposition 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2024, 卷号: 645, 页码: 11 作者:  Zhou, Renjie;  Wang, Quanrong;  Jin, Aohan;  Shi, Wenguang;  Liu, Shiqi   |  收藏  |  浏览/下载：23/0  |  提交时间：2025/02/06 Temporal Fusion Transformers (TFT)  Transformers  Ensemble Empirical Mode Decomposition  (EEMD)  Deep learning  Rainfall-runoff relationship  Karst Hydrology   Probabilistic assessment of rockburst risk in TBM-excavated tunnels with multi-source data fusion 期刊论文  OAI收割 TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2024, 卷号: 152, 页码: 22 作者:  Yin, Xin;  Cheng, Shouye;  Yu, Honggan;  Pan, Yucong;  Liu, Quansheng   |  收藏  |  浏览/下载：2/0  |  提交时间：2025/06/27 TBMs  Rockburst  Early warning  Multi-source data fusion  Probabilistic ensemble learning   An Improved Ensemble Learning Method for Protein Content Analysis of Corn with Small Sample by Near-Infrared Spectroscopy 期刊论文  OAI收割 FOOD ANALYTICAL METHODS, 2024, 卷号: 17 作者:  Liu, Jing;  Yu, Shaohui   |  收藏  |  浏览/下载：5/0  |  提交时间：2024/11/20 Near-infrared spectroscopy  Ensemble learning  Partial least squares  Weighted clustering   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：9/0  |  提交时间：2024/07/04 Ensemble Kalman method  Parallel implementation  Field inversion  Data assimilation  Machine learning