机构

• 地理科学与资源研究所 [9]
• 自动化研究所 [2]
• 遥感与数字地球研究所 [1]
• 生态环境研究中心 [1]

采集方式

• OAI收割 [13]

内容类型

• 期刊论文 [10]
• 会议论文 [2]
• 学位论文 [1]

发表日期

• 2023 [2]
• 2022 [5]
• 2021 [2]
• 2015 [2]
• 2011 [1]
• 2007 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共13条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Adding attention to the neural ordinary differential equation for spatio-temporal prediction 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2023 作者:  Wang, Peixiao;  Zhang, Tong;  Zhang, Hengcai;  Cheng, Shifen;  Wang, Wangshu   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/12/04 Geospatial artificial intelligence  spatio-temporal prediction  spatio-temporal attention  neural ordinary differential equation   Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges 期刊论文  OAI收割 EARTH-SCIENCE REVIEWS, 2023, 卷号: 241, 页码: 10 作者:  Chen, Min;  Claramunt, Christophe;  coltekin, Arzu;  Liu, Xintao;  Peng, Peng   |  收藏  |  浏览/下载：11/0  |  提交时间：2023/10/09 Geographical space  Cyberspace  GeoAI  GeoVA   A Knowledge Graph Convolutional Networks Method for Countryside Ecological Patterns Recommendation by Mining Geographical Features 期刊论文  OAI收割 ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2022, 卷号: 11, 期号: 12, 页码: 17 作者:  Zeng, Xuhui;  Wang, Shu;  Zhu, Yunqiang;  Xu, Mengfei;  Zou, Zhiqiang   |  收藏  |  浏览/下载：23/0  |  提交时间：2023/01/30 recommendation system  geospatial artificial intelligence  geographical knowledge graph  knowledge graph convolutional networks  countryside ecological patterns   Big Geospatial Data and Data-Driven Methods for Urban Dengue Risk Forecasting: A Review 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 19, 页码: 22 作者:  Li, Zhichao;  Dong, Jinwei   |  收藏  |  浏览/下载：31/0  |  提交时间：2022/11/09 dengue  risk forecasting  big geospatial data  data-driven models  review   Big Geospatial Data and Data-Driven Methods for Urban Dengue Risk Forecasting: A Review 期刊论文  OAI收割 REMOTE SENSING, 2022, 卷号: 14, 期号: 19, 页码: 22 作者:  Li, Zhichao;  Dong, Jinwei   |  收藏  |  浏览/下载：30/0  |  提交时间：2022/11/09 dengue  risk forecasting  big geospatial data  data-driven models  review   Forecasting Weekly Dengue Cases by Integrating Google Earth Engine-Based Risk Predictor Generation and Google Colab-Based Deep Learning Modeling in Fortaleza and the Federal District, Brazil 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 卷号: 19, 期号: 20, 页码: 16 作者:  Li, Zhichao   |  收藏  |  浏览/下载：20/0  |  提交时间：2022/11/18 dengue risk prediction  big geospatial data  Google Earth Engine  cloud deep learning  Google Colab   Forecasting Weekly Dengue Cases by Integrating Google Earth Engine-Based Risk Predictor Generation and Google Colab-Based Deep Learning Modeling in Fortaleza and the Federal District, Brazil 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 卷号: 19, 期号: 20, 页码: 16 作者:  Li, Zhichao   |  收藏  |  浏览/下载：20/0  |  提交时间：2022/11/18 dengue risk prediction  big geospatial data  Google Earth Engine  cloud deep learning  Google Colab   Hybrid Models Incorporating Bivariate Statistics and Machine Learning Methods for Flash Flood Susceptibility Assessment Based on Remote Sensing Datasets 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 23, 页码: 26 作者:  Liu, Jun;  Wang, Jiyan;  Xiong, Junnan;  Cheng, Weiming;  Sun, Huaizhang   |  收藏  |  浏览/下载：20/0  |  提交时间：2022/09/21 flood susceptibility  bivariate statistics models  machine learning models  hybrid models   Hybrid Models Incorporating Bivariate Statistics and Machine Learning Methods for Flash Flood Susceptibility Assessment Based on Remote Sensing Datasets 期刊论文  OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 23, 页码: 26 作者:  Liu, Jun;  Wang, Jiyan;  Xiong, Junnan;  Cheng, Weiming;  Sun, Huaizhang   |  收藏  |  浏览/下载：15/0  |  提交时间：2022/09/21 flood susceptibility  bivariate statistics models  machine learning models  hybrid models   基于风险分析的城市应急设施选址研究 学位论文  OAI收割 博士, 北京: 中国科学院研究生院, 2015 作者:  赵明 收藏  |  浏览/下载：22/0  |  提交时间：2016/08/15 突发环境事故，城市公共安全，应急设施选址，区域风险评价，多目 标优化，决策支持系统，environmental accidents, urban public safety, emergency facilities locations, regional risk assessment, multi-objective optimization, decision support system.。