机构

• 数学与系统科学研究... [12]
• 西北高原生物研究所 [7]
• 国家天文台 [4]
• 地质与地球物理研究所 [3]
• 金属研究所 [2]
• 云南天文台 [2]
• 更多

采集方式

• OAI收割 [34]
• iSwitch采集 [1]

内容类型

• 期刊论文 [35]

发表日期

• 2026 [1]
• 2024 [1]
• 2023 [2]
• 2022 [5]
• 2021 [10]
• 2020 [4]
• 更多

学科主题

• 天文学 [2]
• 天文学::天体物理学 [1]
• 天文学::天体物理学... [1]
• 天文学::天体物理学... [1]
• 天文学::恒星与银河... [1]
• 天文学::恒星与银河... [1]
• 更多

筛选

浏览/检索结果: 共35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 Introduction to the Chinese Space Station Survey Telescope (CSST) 期刊论文  OAI收割 SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2026, 卷号: 69, 期号: 3 作者:  Gong, Yan;  Miao, Haitao;  Zhan, Hu;  Li, Zhao-Yu;  Shangguan, Jinyi   |  收藏  |  浏览/下载：2/0  |  提交时间：2026/02/05 telescope  cosmology  galaxy   Mechanistic insights into the co-transport of microplastic degradation products in saturated porous media: The key role of microplastics-derived DOM 期刊论文  OAI收割 The Science of the total environment, 2024, 卷号: 957, 页码: 177597 作者:  Kaixuan Sun;  Xiaofeng Huo;  Yanhong Zhang;  Chengyuan Zong;  Chao Liu   |  收藏  |  浏览/下载：38/0  |  提交时间：2025/03/12 How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 213, 页码: 9 作者:  Sun, Shaolong;  Hu, Mengyuan;  Wang, Shouyang;  Zhang, Chengyuan   |  收藏  |  浏览/下载：77/0  |  提交时间：2023/02/07 Tourism demand forecasting  Search engine data  Two -stage feature selection  Genetic algorithm  Kernel extreme learning machine   Nature-Derived Hollow Micron-Tubular Signal Tracers Conquering the Size Limitations for Multimodal Immunochromatographic Detection of Antibiotics 期刊论文  OAI收割 ANALYTICAL CHEMISTRY, 2023, 卷号: 95, 期号: 46 作者:  Wang, Shaochi;  Du, Ting;  Liu, Sijie;  Ma, Yiyue;  Luo, Linpin   |  收藏  |  浏览/下载：41/0  |  提交时间：2024/11/27 IMPROVING MULTI-STEP AHEAD TOURISM DEMAND FORECASTING: A STRATEGY-DRIVEN APPROACH 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 34 作者:  Sun, Shaolong;  Du, Zongjuan;  Zhang, Chengyuan;  Wang, Shouyang   |  收藏  |  浏览/下载：43/0  |  提交时间：2023/02/07 Tourism demand forecasting  Multi-step ahead strategies  MIMO  DIRMO  Extreme learning machine   Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 12 作者:  Sun, Shaolong;  Li, Mingchen;  Wang, Shouyang;  Zhang, Chengyuan   |  收藏  |  浏览/下载：55/0  |  提交时间：2023/02/07 Tourism demand  Multi -step ahead forecasting  Privileged information  Machine learning  Kernel random vector functional link network   Multi-scale analysis-driven tourism forecasting: insights from the peri-COVID-19 期刊论文  OAI收割 CURRENT ISSUES IN TOURISM, 2022, 页码: 24 作者:  Li, Mingchen;  Zhang, Chengyuan;  Wang, Shouyang;  Sun, Shaolong   |  收藏  |  浏览/下载：56/0  |  提交时间：2023/02/07 Tourism demand forecasting  divide and conquer  Facebook prophet  deep learning  peri-COVID-19 era   A novel deep learning approach for tourism volume forecasting with tourist search data 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2022, 页码: 15 作者:  Li, Mingchen;  Zhang, Chengyuan;  Sun, Shaolong;  Wang, Shouyang   |  收藏  |  浏览/下载：45/0  |  提交时间：2023/02/07 bi-directional gated recurrent unit  search engine data  stacked autoencoders  tourism volume forecasting   Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis 期刊论文  OAI收割 ENVIRONMENTAL MODELLING & SOFTWARE, 2022, 卷号: 149, 页码: 17 作者:  Li, Yanzhao;  Guo, Ju-e;  Sun, Shaolong;  Li, Jianing;  Wang, Shouyang   |  收藏  |  浏览/下载：67/0  |  提交时间：2022/06/21 Air quality forecasting  Artificial intelligence  Machine learning  Scientometrics  Content analysis   Air pollution forecasting with multivariate interval decomposition ensemble approach 期刊论文  OAI收割 ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 12, 页码: 14 作者:     |  收藏  |  浏览/下载：58/0  |  提交时间：2022/04/02 Daily PM 10 concentration forecast  Air quality  Interval forecasting  Noise-assisted multivariate empirical mode  decomposition  Maximum mutual information