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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  
Selection of bias correction models for improving the daily PM10 forecasts of WRF-EURAD in Porto, Portugal Journal article
ATMOSPHERIC POLLUTION RESEARCH, 2017,Volume: 8,Issue: 4,Page: 628-639
Authors:  Mok, K. M.;  Miranda, A. I.;  Yuen, K. V.;  Hoi, K. I.;  Monteiro, A.;  Ribeiro, I.
Favorite | View/Download：20/0 | TC[WOS]:2 TC[Scopus]:6 | Submit date：2018/10/30
Bayesian  Bias Correction  Model Selection  Pm10  Porto  
Development of an adaptive Kalman filter-based storm tide forecasting model Conference paper
Proceedings of the Second Conference of Global Chinese Scholars on Hydrodynamics (CCSH'2016), Wuxi, PEOPLES R CHINA, NOV 11-14, 2016
Authors:  Mok, K. M.;  Lai, U. H.;  Hoi, K. I.
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Adaptive Model  Flooding  Kalman Filter  Macau  Storm Tide  
Bayesian model class selection of daily ground-level ozone prediction model Conference paper
Proceedings of the 4th International Conference on Environmental Management, Engineering, Planning and Economics (CEMEPE) and SECOTOX Conference, Mykonos island, Greece, June 24-28, 2013
Authors:  K. I. Hoi;  K. V. Yuen;  K. M. Mok
Favorite | View/Download：10/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date：2019/05/28
Air Quality Forecasting, Bayesian Model Class Selection  Ground-level Ozone  Macau  
Adaptive Modelling of the Daily Behavior of the Boundary Layer Ozone in Macau Journal article
ISRN Meteorology, 2012,Volume: 2012,Page: 434176
Authors:  K. M. Chao;  K. I. Hoi;  K. V. Yuen;  K. M. Mok
Favorite | View/Download：7/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date：2019/05/17
WATER RESOURCE MANAGEMENT OF MACAO SAR TO TACKLE ITS SEA WATER INTRUSION PROBLEM Conference paper
Asian and Pacific Coasts 2011, Univ Hong Kong, Hong Kong, PEOPLES R CHINA, DEC 14-16, 2011
Authors:  K. M. MOK;  H. WONG;  X. J. FAN
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Capturing the process of wave to runup Journal article
Journal of Hydrodynamics, 2010,Volume: 22,Issue: 5,Page: 29-33
Authors:  K. M. Mok;  Jie-lin Lu;  K. I. Hoi
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Surface Waves  Shoaling  Wave Transformation  Runup  
Quantitative Dynamic SPECT/CT Imaging of Atherosclerotic Plaques in ApoE-/- Mice Meeting Abstract
2009
Authors:  Tsui BMW.;  Wang Y.;  Yu J.;  Mok GSP.;  Nimmagadda S.;  Bedja D.;  Gabrielson K.;  Bengel;  and Pomper M.
Favorite | View/Download：7/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date：2019/01/29
Prediction of Ambient PMio Concentration with Artificial Neural Network Conference paper
Proceedings of the 10th International Conference for Environmental Science and Technology, Sanya, China, Aug. 21-23,2006
Authors:  L. H. Lam;  K. M. Mok
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Updating Noise Parameters of Kalman Filter Using Bayesian Approach Conference paper
Computational Methods in Engineering & Science, Sanya, Hainan, China, Aug. 21-23, 2006
Authors:  K. I. Hoi;  K. V. Yuen;  K. M. Mok
Favorite | View/Download：7/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date：2019/05/29