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浏览/检索结果: 共3736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 Optimising crop calendars with management practices promotes climate-smart agriculture in wheat-maize rotations of the North China Plain 期刊论文  OAI收割 AGRICULTURAL SYSTEMS, 4608, 卷号: 233, 页码: 104626 作者:  Liu, Deyao;  Pan, Baobao;  Gong, Huarui;  Li, Jing;  Wang, Enli   |  收藏  |  浏览/下载：3/0  |  提交时间：2026/01/21 Crop calendars  Management practices  Climate-smart agriculture  Wheat-maize rotation   A triplet-loss optimized dual-branch neural network for coupled spatial-attribute similarity measurement of vector data 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2026, 卷号: 19, 期号: 1, 页码: 2607203 作者:  Zeng, Hongyun;  Li, Zhuan   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/02/09 Spatial vector data  similarity  neural networks  triplet loss   Explainable GeoAI reveals spatially varying and nonlinear associations of PM2.5 pollution with driving factors in Chinese cities from 2015 to 2022 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2026, 卷号: 19, 期号: 1, 页码: 2620872 作者:  Dai, Xiaoliang;  Sun, Kai;  Li, Weirong;  Zhu, Yunqiang;  Ding, Fangyu   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 PM2.5 concentration  natural and socioeconomic factors  GeoAI  geographical random forest  explainable AI   Automated extraction of spatiotemporal disaster knowledge for urban floods: a multimodal framework based on LLMs and agent 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2026, 卷号: 19, 期号: 1, 页码: 2640706 作者:  Yang, Yichen;  Wang, Qiang;  Li, Weirong;  Wang, Shu;  Fang, Shifeng   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/04/16 Urban floods  knowledge extraction  spatiotemporal disaster knowledge  large language models (LLMs)  intelligent agents   Failure modes of basal-ice moraine slopes under combined hydrothermal conditions: laboratory evidence 期刊论文  OAI收割 CATENA, 2026, 卷号: 265, 页码: 17 作者:  Cao, Jingxuan;  Wang, Jiao;  Cui, Peng;  Liu, Zhenxing;  Yang, Can   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/31 Basal-ice moraine slopes  Hydrothermal conditions  Laboratory flume modeling  Failure modes   Failure modes of basal-ice moraine slopes under combined hydrothermal conditions: laboratory evidence 期刊论文  OAI收割 CATENA, 2026, 卷号: 265, 页码: 109906 作者:  Cao, Jingxuan;  Wang, Jiao;  Cui, Peng;  Liu, Zhenxing;  Yang, Can   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/03/16 Basal-ice moraine slopes  Hydrothermal conditions  Laboratory flume modeling  Failure modes   Atmospheric systems drive spatiotemporal divergence of dust and moisture changes across Asia over the past 130,000 years 期刊论文  OAI收割 SCIENCE ADVANCES, 2026, 卷号: 12, 期号: 11, 页码: eadx8500 作者:  Li, Guoqiang;  Yang, He;  Zhang, Xiaojian;  Li, Jiaxin;  Du, Peirui   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/04/16 Modern pollen analysis on peatlands across monsoonal China and its implications for reconstruction 期刊论文  OAI收割 PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY, 2026, 卷号: 683, 页码: 113491 作者:  Chen, Shu;  Wang, Mengmeng;  Ma, Chunmei;  Tang, Tianyi;  Ke, Rui   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/02/09 Modern pollen  Peatland  Monsoonal China  Pollen-vegetation-climate relationship  Human activities  Quantitative reconstruction   AIGC Image Features for GIS: A Preliminary Test of Elements, Colors, and Spatial Structure in Recommendation Tasks 期刊论文  OAI收割 WEB AND WIRELESS GEOGRAPHICAL INFORMATION SYSTEMS, W2GIS 2025, 2026, 卷号: 15946, 页码: 20-30 作者:  Wang, Qiang;  Yu, Zhihang;  Wang, Shu;  Zhu, Yunqiang   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/02/09 AIGC Modeling  AIGC Image  VGI Image  Multimodal Recommendation  Image Element  Image Color  Image Spatial structure   Unveiling optimal SDG pathways: an innovative automated recommendation approach integrating graph pruning, intent graph, and attention mechanism 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2025, 卷号: 18, 期号: 1, 页码: 2513048 作者:  Wang, Qiang;  Yu, Zhihang;  Wang, Shu;  Zhu, Yunqiang;  Dai, Xiaoliang   |  收藏  |  浏览/下载：71/0  |  提交时间：2025/07/18 Sustainable development pathways  ecological civilization pattern  recommender system  knowledge graph pruning  intent graph