机构

• 地理科学与资源研究所 [9]
• 成都山地灾害与环境研... [3]
• 力学研究所 [2]
• 自动化研究所 [2]
• 计算技术研究所 [1]
• 数学与系统科学研究院 [1]
• 更多

采集方式

• OAI收割 [21]
• iSwitch采集 [1]

内容类型

• 期刊论文 [21]
• 学位论文 [1]

发表日期

• 2026 [3]
• 2025 [3]
• 2024 [4]
• 2023 [2]
• 2022 [2]
• 2021 [2]
• 更多

学科主题

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浏览/检索结果: 共22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;  Huang, Yue   |  收藏  |  浏览/下载：9/0  |  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:  Lei, Sihong;  Shao, Mingan;  Jia, Xiaoxu;  Zhu, Zhaocen;  Zhao, Chunlei   |  收藏  |  浏览/下载：4/0  |  提交时间：2025/10/20 Agricultural ecosystem  Machine learning  Model ensemble  Quantitative prediction   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   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   |  收藏  |  浏览/下载：54/0  |  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：49/0  |  提交时间：2025/03/18 Forest fire  Multi-layer ensemble model  Machine learning  Probability mapping  Malakand division   Developing novel ensemble models for predicting soil hydraulic properties in China's arid region 期刊论文  OAI收割 JOURNAL OF HYDROLOGY, 2024, 卷号: 636, 页码: 131354 作者:  Niu, Liantao;  Jia, Xiaoxu;  Li, Xiangdong;  Zhao, Chunlei;  Ren, Lidong   |  收藏  |  浏览/下载：46/0  |  提交时间：2024/09/19 Pedotransfer functions  Soil hydraulic properties  Machine learning  Ensemble model  Arid region   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：238/0  |  提交时间：2024/05/21 Ensemble Kalman method  Machine learning  Turbulence modeling  SUBOFF model   NDVI joint process-based models drive a learning ensemble model for accurately estimating cropland net primary productivity (NPP) 期刊论文  OAI收割 FRONTIERS IN ENVIRONMENTAL SCIENCE, 2024, 卷号: 11, 页码: 15 作者:  Wang, Zhaosheng;  Liu, Zhengjia;  Huang, Mei   |  收藏  |  浏览/下载：73/0  |  提交时间：2024/03/01 cropland NPP (net primary productivity)  learning ensemble model  NDVI  process-based model  China   Multiple-model based prediction of weekly discharge of the Brahmaputra-Jamuna by assimilating antecedent hydrological regime 期刊论文  OAI收割 GEOCARTO INTERNATIONAL, 2024, 卷号: 39, 期号: 1, 页码: 25 作者:  Rahim, Md. Abdur;  Liu, Shuang;  Hu, Kaiheng;  Li, Hao;  Abedin, Md. Anwarul   |  收藏  |  浏览/下载：49/0  |  提交时间：2024/12/04 Discharge prediction  ERA5 rainfall  antecedent discharge  machine learning  ensemble model  Brahmaputra-Jamuna