UM

Browse/Search Results:  1-10 of 91 Help

Selected(0)Clear Items/Page:    Sort:
Tourism demand forecasting: A deep learning approach Journal article
Annals of Tourism Research, 2019,Volume: 75,Page: 410-423
Authors:  Law,Rob;  Li,Gang;  Fong,Davis Ka Chio;  Han,Xin
Favorite | View/Download:22/0 | TC[WOS]:17 TC[Scopus]:46 | Submit date:2019/08/01
Attention Mechanism  Deep Learning  Feature Engineering  Lag Order  Long-short-term-memory  Tourism Demand Forecasting  
Hong Kong and Shanghai: A tale of two cities in China Journal article
Tempo Social, 2019,Volume: 30,Issue: 3,Page: 171-190
Authors:  Sheng,Li
Favorite | View/Download:8/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/06/18
Competition  Competitiveness  Competitividade  Concorrência  Cooperation  Cooperação  Integration  Integração  Liderança estratégica  Strategic lead  
Hong Kong and Shanghai: A tale of two cities in China Journal article
Tempo Social, 2019,Volume: 30,Issue: 3,Page: 171-190
Authors:  Sheng,Li
Favorite | View/Download:13/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/06/26
Competition  Competitiveness  Competitividade  Concorrência  Cooperation  Cooperação  Integration  Integração  Liderança Estratégica  Strategic Lead  
Weather research and forecasting model simulations over the Pearl River Delta Region Journal article
Air Quality, Atmosphere and Health, 2019,Volume: 12,Issue: 1,Page: 115-125
Authors:  Lopes D.;  Ferreira J.;  Hoi K.I.;  Miranda A.I.;  Yuen K.V.;  Mok K.M.
Favorite | View/Download:10/0 | TC[WOS]:1 TC[Scopus]:2 | Submit date:2019/02/12
Air Quality Modelling  Parameterization Schemes  Pearl River Delta  Wrf-arw  
A Multi-Model Combination Approach for Probabilistic Wind Power Forecasting Journal article
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2019,Volume: 10,Issue: 1,Page: 226-237
Authors:  Lin, You;  Yang, Ming;  Wan, Can;  Wang, Jianhui;  Song, Yonghua
Favorite | View/Download:14/0 | TC[WOS]:18 TC[Scopus]:41 | Submit date:2019/01/17
Terms-Multi-model combination  probabilistic forecasting  wind power  uncertainty  
Standing out from the crowd – An investigation of the signal attributes of Airbnb listings Journal article
International Journal of Contemporary Hospitality Management, 2019,Volume: 32
Authors:  Bin Yao;  Richard T.R. Qiu;  Daisy X.F. Fan;  Anyu Liu;  Dimitrios Buhalis
View | Adobe PDF | Favorite | View/Download:261/17 | TC[WOS]:0 TC[Scopus]:7 | Submit date:2019/09/10
Signaling Theory  Big Data  Airbnb  Binomial Logistic Model  Booking Probability  Sequential Bayesian Updating  Sharing Economy  
Differences in Tourist Behaviors across the Seasons: The Case of Northern Indiana Journal article
SUSTAINABILITY, 2019,Volume: 11,Issue: 16
Authors:  Yeongbae Choe;  Hany Kim;  Hyo-Jae Joun
Favorite | View/Download:6/0 | TC[WOS]:1 TC[Scopus]:0 | Submit date:2020/07/15
Seasonality  Seemingly Unrelated Regression  Destination Marketing  Tourism Advertisement  Tourism Demand  Expenditure  
Predicting ground-level ozone concentrations by adaptive Bayesian model averaging of statistical seasonal models Journal article
Stochastic Environmental Research and Risk Assessment, 2018,Volume: 32,Issue: 5,Page: 1283-1297
Authors:  Mok, K. M.;  Yuen, K. V.;  Hoi, K. I.;  Chao, K. M.;  Lopes, D.
Favorite | View/Download:27/0 | TC[WOS]:4 TC[Scopus]:6 | Submit date:2018/10/30
Adaptive Bayesian Model Averaging  Kalman Filter  Model Switching  Ozone Prediction  Statistical Model  
Asymptotic properties of the realized skewness and related statistics Journal article
Annals of the Institute of Statistical Mathematics, 2018
Authors:  Yuta Koike;  Zhi Liu
Favorite | View/Download:8/0 | TC[WOS]:0 TC[Scopus]:1 | Submit date:2019/06/10
High-frequency Data  Realized Skewness  Stochastic Sampling  Itô Semimartingale  Jumps  Microstructure Noise  
Divergent trajectories of sectoral evolution: The case of Traditional Chinese Medicine in China (1949-2015) Journal article
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2018,Volume: 128,Page: 252-261
Authors:  Chung, Chao-chen;  Hu, Hao
Favorite | View/Download:19/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2018/10/30
Sectoral Innovation System  Traditional Chinese Medicine  Sub-sector  China