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浏览/检索结果: 共442条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择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作者升序作者降序 Adaptive model selection and ensemble via spatiotemporal graph-guided expert routing 期刊论文  OAI收割 INFORMATION PROCESSING & MANAGEMENT, 2026, 卷号: 63, 期号: 7, 页码: 104814 作者:  Wang, Lizeng;  Cheng, Shifen;  Lu, Feng   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/05/22 Ensemble learning  Spatiotemporal inference  Model selection  Spatiotemporal correlation  Spatiotemporal heterogeneity  Mixture of experts   Predicting distribution characteristics of PM2.5 concentrations across China combining land use regression model and spatiotemporally weighted stacking machine learning algorithms 期刊论文  OAI收割 JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING, 2026, 卷号: 14, 期号: 2, 页码: 121780 作者:  Wang, Wentao;  Zhang, Ping;  Han, Yuanyuan;  Zhang, Fengqian   |  收藏  |  浏览/下载：5/0  |  提交时间：2026/03/16 PM 2.5 pollution  Land use regression model  Machine learning ensemble method  Space-time weighting information  Spatiotemporal modelling   The stacking method enhances machine learning models for monitoring and understanding regional soil available nitrogen variations in croplands 期刊论文  OAI收割 SOIL & TILLAGE RESEARCH, 2026, 卷号: 256, 页码: 106880 作者:     |  收藏  |  浏览/下载：3/0  |  提交时间：2025/10/20 Agricultural ecosystem  Machine learning  Model ensemble  Quantitative prediction   Exposure risk assessment of polycyclic aromatic hydrocarbons (PAHs) in soil around coking sites at regional scale based on stacking ensemble model 期刊论文  OAI收割 JOURNAL OF HAZARDOUS MATERIALS, 2026, 卷号: 503, 页码: 141186 作者:  Shi, Weiwei;  Ma, Xuepu;  Luo, Lingzhi;  Liao, Xiaoyong;  Tao, Huan   |  收藏  |  浏览/下载：3/0  |  提交时间：2026/03/16 Surrounding soil of the coking sites  PAHs  Stacking ensemble model  Exposure risk assessment  Scenario simulation   Estimation of Electric Power Consumption at 10 m for Punjab, Pakistan, Using Ensemble Machine Learning Model and Spatiotemporal Fused SDGSAT-1-Like Nighttime Light Data 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2026, 卷号: 64, 页码: 17 作者:  Khan, Touseef Ahmad;  Bian, Jinhu;  Li, Ainong;  Lei, Guangbin;  Zhang, Zhengjian   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/04/20 Spatial resolution  Estimation  Satellite broadcasting  Accuracy  Data models  Monitoring  Remote sensing  Radiometry  Socioeconomics  Energy consumption  Electric power consumption (EPC)  ensemble machine learning  nighttime light (NTL)  spatiotemporal modeling  Sustainable Development Goals Satellite-1 (SDGSAT-1)   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：183/0  |  提交时间：2025/04/21 Global drought  aridity index  climate change  remote sensing  ensemble learning   Geospatial heterogeneity-informed machine learning for mapping soil hydraulic properties across China's drylands 期刊论文  OAI收割 GEODERMA, 2025, 卷号: 464, 页码: 117622 作者:  Niu, Liantao;  Jia, Xiaoxu;  Dai, Xiaoliang;  Gao, Lei;  Huang, Laiming   |  收藏  |  浏览/下载：2/0  |  提交时间：2026/01/21 Soil hydraulic parameters  Pedo-transfer functions  Machine learning  Geospatial heterogeneity  Ensemble model   Integrating PolSAR and Optical Data for Forest Aboveground Biomass Estimation with an Interpretable Bayesian-Optimized XGBoost Model 期刊论文  OAI收割 SUSTAINABILITY, 2025, 卷号: 17, 期号: 21, 页码: 9749 作者:  Zhou, Xinshao;  Wang, Zhiqiang;  Wang, Zhaosheng;  Wang, Yonghong;  Li, Chaokui   |  收藏  |  浏览/下载：2/0  |  提交时间：2025/12/19 aboveground biomass  Sentinel-2  ALOS-2  Bayesian optimization  ensemble learning   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：18/0  |  提交时间：2025/08/18 Turbulence model  Ensemble Kalman method  Symbolic regression  Feature importance analysis  Neural networks   Key Internal Mode Influencing the Decadal Transition of Winter Surface Wind Speed in China and Its Quantitative Contribution 期刊论文  OAI收割 GEOPHYSICAL RESEARCH LETTERS, 2025, 卷号: 52, 期号: 18, 页码: e2025GL116459 作者:  Zha, Jinlin;  Chuan, Ting;  Wu, Jian;  Zhao, Deming;  Fan, Wenxuan   |  收藏  |  浏览/下载：3/0  |  提交时间：2025/10/20 surface wind speed  warm Arctic-cold Eurasia  internal climate variability  large ensemble simulation  adjustment technique  China