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筛选

浏览/检索结果: 共142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 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：0/0  |  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   Leveraging Landsat and Google Earth Engine for long-term chlorophyll-a monitoring: A case study of Lake Balaton's water quality 期刊论文  OAI收割 ECOLOGICAL INFORMATICS, 2025, 卷号: 90, 页码: 103245 作者:  Li, Huan;  Somogyi, Boglarka;  Chen, Xiaona;  Luo, Zengliang;  Blix, Katalin   |  收藏  |  浏览/下载：29/0  |  提交时间：2025/07/18 Water quality  Remote sensing  Oversampling imbalanced dataset  Machine learning  Applicability of Landsat  Integrating temporal information   Extracting individual trajectories from text by fusing large language models with diverse knowledge 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2025, 卷号: 141, 页码: 104654 作者:  Liu, Le;  Pei, Tao;  Fang, Zidong;  Yan, Xiaorui;  Zheng, Chenglong   |  收藏  |  浏览/下载：33/0  |  提交时间：2025/07/18 Large language model  Human mobility trajectory  Geographical information retrieval  Prompt learning  GeoAI   Mutual-information-based dimensional learning: Objective algorithms for identification of relevant dimensionless quantities 期刊论文  OAI收割 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2025, 卷号: 440, 页码: 117922 作者:  Zhang L(张磊);  He GW(何国威)   |  收藏  |  浏览/下载：24/0  |  提交时间：2025/07/21 Data-driven dimensional analysis  Mutual information  Objectivity  Machine learning   A deep learning architecture for aligning cross-domain geographic knowledge graph 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2025, 卷号: N/A 作者:  Qiu, Qinjun;  Zheng, Shiyu;  Li, Jiali;  Tian, Miao;  Li, Zixuan   |  收藏  |  浏览/下载：39/0  |  提交时间：2025/04/21 Knowledge graph alignment  graph neural network  geographic text  geographic information retrieval  deep learning   U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal 期刊论文  OAI收割 GISCIENCE & REMOTE SENSING, 2024, 卷号: 61, 期号: 1, 页码: 19 作者:  Zhang, Qian;  Liu, Xiangnan;  Peng, Tao;  Yang, Xiao;  Tang, Mengzhen   |  收藏  |  浏览/下载：89/0  |  提交时间：2024/04/19 Missing information reconstruction  optical time series data  SAR-to-optical translation  spatiotemporal mapping  deep learning   DeepFusion: A deep bimodal information fusion network for unraveling protein-RNA interactions using in vivo RNA structures 期刊论文  OAI收割 COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2024, 卷号: 23, 页码: 617-625 作者:  Qiao, Yixuan;  Yang, Rui;  Liu, Yang;  Chen, Jiaxin;  Zhao, Lianhe   |  收藏  |  浏览/下载：54/0  |  提交时间：2024/05/20 Information fusion  Deep learning  RNA -binding proteins  In vivo RNA structures  Motifs   The Construction of a Mountain Vegetation Knowledge Graph Incorporating With Geographical Principles, Maps, and Remote Sensing Images 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 4416215 作者:  Yao, Yonghui;  Liu, Yulian   |  收藏  |  浏览/下载：36/0  |  提交时间：2025/01/17 Vegetation mapping  Knowledge graphs  Spatiotemporal phenomena  Geoscience  Remote sensing  Data models  Ontologies  Data mining  Semantics  Geography  Climate change  Deep learning  geographical principles  geoscience knowledge graph (GKG)  remote sensing (RS)  spatiotemporal information  vegetation distribution   High-resolution cropland mapping in China's Huang-Huai-Hai Plain: The coupling of machine learning methods and prior information 期刊论文  OAI收割 COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, 卷号: 224, 页码: 109225 作者:  Zhao, Jiafu;  Chen, Pengfei   |  收藏  |  浏览/下载：36/0  |  提交时间：2024/12/20 Cropland mapping  A priori information  Machine learning  Sample migration  Positive and unlabeled learning   Physics-informed transfer learning model for fatigue life prediction of IN718 alloy 期刊论文  OAI收割 JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2024, 卷号: 32, 页码: 2767-2779 作者:  Chen, Baihan;  Zhang, Jianfeng;  Zhou, Shangcheng;  Zhang, Guangping;  Xu, Fang   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/04/27 Fatigue life prediction  Transfer learning  Physical information  Hybrid models