机构

• 西北高原生物研究所 [42]
• 武汉岩土力学研究所 [17]
• 数学与系统科学研究... [13]
• 上海药物研究所 [10]
• 自动化研究所 [7]
• 地理科学与资源研究所 [5]
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采集方式

• OAI收割 [111]

内容类型

• 期刊论文 [105]
• 会议论文 [6]

发表日期

• 2023 [2]
• 2022 [7]
• 2021 [15]
• 2020 [12]
• 2019 [8]
• 2018 [24]
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学科主题

• 天文学 [3]
• 天文学::天体物理学 [2]
• 天文学::天体物理学... [2]
• 天文学::恒星与银河... [2]
• 天文学::恒星与银河... [2]
• Biochemist... [1]
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筛选

浏览/检索结果: 共111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 Four Distinct Subtypes of Alzheimer?s Disease Based on Resting-State Connectivity Biomarkers 期刊论文  OAI收割 BIOLOGICAL PSYCHIATRY, 2023, 卷号: 93, 期号: 9, 页码: 759-769 作者:  Chen, Pindong;  Yao, Hongxiang;  Tijms, Betty M.;  Wang, Pan;  Wang, Dawei   |  收藏  |  浏览/下载：8/0  |  提交时间：2023/11/17 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：15/0  |  提交时间：2023/02/07 Tourism demand forecasting  Search engine data  Two -stage feature selection  Genetic algorithm  Kernel extreme learning machine   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：9/0  |  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：17/0  |  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：11/0  |  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：12/0  |  提交时间：2023/02/07 bi-directional gated recurrent unit  search engine data  stacked autoencoders  tourism volume forecasting   An18.9 min blue large-amplitude pulsator crossing the 'Hertzsprung gap' of hot subdwarfs 期刊论文  OAI收割 NATURE ASTRONOMY, 2022, 页码: 16 作者:  Lin, Jie;  Wu, Chengyuan;  Wang, Xiaofeng;  Nemeth, Peter;  Xiong, Heran   |  收藏  |  浏览/下载：23/0  |  提交时间：2023/02/28 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：27/0  |  提交时间：2022/06/21 Air quality forecasting  Artificial intelligence  Machine learning  Scientometrics  Content analysis   Fast and Slow Changes Constrained Spatio-Temporal Subpixel Mapping 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16 作者:  Zhang, Chengyuan   |  收藏  |  浏览/下载：15/0  |  提交时间：2022/09/21 Spatial resolution  Neurons  Monitoring  Image resolution  Uncertainty  Remote sensing  Satellites  Downscaling  Hopfield neural network (HNN)  land cover and land use (LCLU)  spatio-temporal dependence  subpixel mapping (SPM)  super-resolution mapping   Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method 期刊论文  OAI收割 APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15 作者:  Jiang, Fuxin;  Zhang, Chengyuan;  Sun, Shaolong;  Sun, Jingyun   |  收藏  |  浏览/下载：33/0  |  提交时间：2022/04/29 PM2.5 concentration forecasting  Complete ensemble empirical mode  decomposition with adaptive noise  Temporal convolutional  Data patterns  Deep learning