机构

• 化学研究所 [31]
• 遥感与数字地球研究... [17]
• 西北高原生物研究所 [9]
• 地理科学与资源研究所 [8]
• 宁波材料技术与工程研... [5]
• 大连化学物理研究所 [4]
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• OAI收割 [85]

内容类型

• 期刊论文 [71]
• 会议论文 [14]

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• 2023 [2]
• 2022 [1]
• 2020 [3]
• 2019 [1]
• 2018 [6]
• 2017 [20]
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• Environmen... [2]
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筛选

浏览/检索结果: 共85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 Improving air quality assessment using physics-inspired deep graph learning 期刊论文  OAI收割 NPJ CLIMATE AND ATMOSPHERIC SCIENCE, 2023, 卷号: 6, 期号: 1, 页码: 13 作者:  Li, Lianfa;  Wang, Jinfeng;  Franklin, Meredith;  Yin, Qian;  Wu, Jiajie   |  收藏  |  浏览/下载：10/0  |  提交时间：2023/10/23 Multiscale Entropy-Based Surface Complexity Analysis for Land Cover Image Semantic Segmentation 期刊论文  OAI收割 REMOTE SENSING, 2023, 卷号: 15, 期号: 8, 页码: 2192 作者:  Li, Lianfa;  Zhu, Zhiping;  Wang, Chengyi   |  收藏  |  浏览/下载：5/0  |  提交时间：2023/06/10 remote sensing  land use  land cover  surface complexity  sampling bias  stratification  samples  deep learning  constrained optimization  semantic segmentation   Net CO2 and CH4 emissions from restored mangrove wetland: New insights based on a case study in estuary of the Pearl River, China 期刊论文  OAI收割 SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 811 作者:  Zhao, Xiaosong;  Wang, Chunlin;  Li, Tingting;  Zhang, Chengyi;  Fan, Xingwang   |  收藏  |  浏览/下载：2/0  |  提交时间：2023/12/19 Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation 期刊论文  OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 18, 页码: 21 作者:  Wang, Chengyi;  Li, Lianfa   |  收藏  |  浏览/下载：21/0  |  提交时间：2021/03/16 multiple scales  residual deep ensemble learning  regularizer  shape representation  semantic segmentation of buildings   Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation 期刊论文  OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 18, 页码: 21 作者:  Wang, Chengyi;  Li, Lianfa   |  收藏  |  浏览/下载：3/0  |  提交时间：2021/03/16 multiple scales  residual deep ensemble learning  regularizer  shape representation  semantic segmentation of buildings   Numerical investigation of a minority heating scenario in three-ion components plasma on EAST 期刊论文  OAI收割 PHYSICS OF PLASMAS, 2020, 卷号: 27 作者:  Yin, Lan;  Yang, Cheng;  Zhang, Xinjun;  Zheng, Pingwei;  Liu, Haiqing   |  收藏  |  浏览/下载：55/0  |  提交时间：2020/11/26 Rheological behavior of titania ink and mechanical properties of titania ceramic structures by 3D direct ink writing using high solid loading titania ceramic ink 期刊论文  OAI收割 JOURNAL OF ALLOYS AND COMPOUNDS, 2019, 卷号: 783, 页码: 321-328 作者:  Chen, Tao;  Sun, Aihua;  Chu, Chengyi;  Wu, Huansheng;  Wang, Jiang   |  收藏  |  浏览/下载：39/0  |  提交时间：2019/12/18 SCAFFOLDS  FABRICATION   Estimation of PM2.5 concentrations at a high spatiotemporal resolution using constrained mixed-effect bagging models with MAIAC aerosol optical depth 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 217, 页码: 573-586 作者:  Li, Lianfa;  Zhang, Jiehao;  Meng, Xia;  Fang, Ying;  Ge, Yong   |  收藏  |  浏览/下载：33/0  |  提交时间：2019/05/23 PM2.5  MAIAC AOD  High spatiotemporal resolution  Temporal variation  AOD-PM2.5 associations  Spatial effects  Missingness  Machine learning   Estimation of PM2.5 concentrations at a high spatiotemporal resolution using constrained mixed-effect bagging models with MAIAC aerosol optical depth 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 217, 页码: 573-586 作者:  Li, Lianfa;  Zhang, Jiehao;  Meng, Xia;  Fang, Ying;  Ge, Yong   |  收藏  |  浏览/下载：20/0  |  提交时间：2019/05/23 PM2.5  MAIAC AOD  High spatiotemporal resolution  Temporal variation  AOD-PM2.5 associations  Spatial effects  Missingness  Machine learning   Estimation of PM2.5 concentrations at a high spatiotemporal resolution using constrained mixed-effect bagging models with MAIAC aerosol optical depth 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 217, 页码: 573-586 作者:  Li, Lianfa;  Zhang, Jiehao;  Meng, Xia;  Fang, Ying;  Ge, Yong   |  收藏  |  浏览/下载：5/0  |  提交时间：2019/05/23 PM2.5  MAIAC AOD  High spatiotemporal resolution  Temporal variation  AOD-PM2.5 associations  Spatial effects  Missingness  Machine learning