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Air quality forecasting with artificial intelligence techniques: A scientometric and content analysis 期刊论文
ENVIRONMENTAL MODELLING & SOFTWARE, 2022, 卷号: 149, 页码: 17
Authors:  Li, Yanzhao;  Guo, Ju-e;  Sun, Shaolong;  Li, Jianing;  Wang, Shouyang;  Zhang, Chengyuan
Favorite  |  View/Download:15/0  |  Submit date: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
ATMOSPHERIC POLLUTION RESEARCH, 2021, 卷号: 12, 期号: 12, 页码: 14
Authors:  Dong, Yawei;  Zhang, Chengyuan;  Niu, Mingfei;  Wang, Shouyang;  Sun, Shaolong
Favorite  |  View/Download:34/0  |  Submit date:2022/04/02
Daily PM 10 concentration forecast  Air quality  Interval forecasting  Noise-assisted multivariate empirical mode  decomposition  Maximum mutual information  
Forecasting hourly PM2.5 based on deep temporal convolutional neural network and decomposition method 期刊论文
APPLIED SOFT COMPUTING, 2021, 卷号: 113, 页码: 15
Authors:  Jiang, Fuxin;  Zhang, Chengyuan;  Sun, Shaolong;  Sun, Jingyun
Favorite  |  View/Download:33/0  |  Submit date:2022/04/29
PM2.5 concentration forecasting  Complete ensemble empirical mode  decomposition with adaptive noise  Temporal convolutional  Data patterns  Deep learning  
The impact of COVID-19 on hotel customer satisfaction: evidence from Beijing and Shanghai in China 期刊论文
INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT, 2021, 页码: 25
Authors:  Sun, Shaolong;  Jiang, Fuxin;  Feng, Gengzhong;  Wang, Shouyang;  Zhang, Chengyuan
Favorite  |  View/Download:39/0  |  Submit date:2022/04/02
COVID-19  Hotel reviews  Text mining  Word2vec  Cluster analysis  Topic model  
Decomposition Methods for Tourism Demand Forecasting: A Comparative Study 期刊论文
JOURNAL OF TRAVEL RESEARCH, 2021, 页码: 18
Authors:  Zhang, Chengyuan;  Li, Mingchen;  Sun, Shaolong;  Tang, Ling;  Wang, Shouyang
Favorite  |  View/Download:32/0  |  Submit date:2022/04/02
tourism demand forecasting  decomposition methods  variational mode decomposition  decomposition and ensemble  machine learning  
A new decomposition ensemble approach for tourism demand forecasting: Evidence from major source countries in Asia-Pacific region 期刊论文
INTERNATIONAL JOURNAL OF TOURISM RESEARCH, 2021, 页码: 14
Authors:  Zhang, Chengyuan;  Jiang, Fuxin;  Wang, Shouyang;  Sun, Shaolong
Favorite  |  View/Download:59/0  |  Submit date:2021/04/26
artificial intelligence  Asia‐  Pacific region  decomposition ensemble approach  NA‐  MEMD  tourism demand forecasting  
Knowledge mapping of tourism demand forecasting research 期刊论文
TOURISM MANAGEMENT PERSPECTIVES, 2020, 卷号: 35, 页码: 15
Authors:  Zhang, Chengyuan;  Wang, Shouyang;  Sun, Shaolong;  Wei, Yunjie
Favorite  |  View/Download:58/0  |  Submit date:2020/09/23
Bibliometric analysis  Tourist arrival  Hospitality demand  Knowledge map  CiteSpace  Infographic  
A multi-scale method for forecasting oil price with multi-factor search engine data 期刊论文
APPLIED ENERGY, 2020, 卷号: 257, 页码: 12
Authors:  Tang, Ling;  Zhang, Chengyuan;  Li, Ling;  Wang, Shouyang
Favorite  |  View/Download:73/0  |  Submit date:2020/05/24
Big data  Search engine data  Google trends  Multivariate empirical mode decomposition  Oil price forecasting