Dr. Jingyin Tang

Engineer
IBM Watson Platform, United State of America

Highest Degree
Ph.D. in Atmospheric Science from University of Florida, Florida, USA

My URL
https://livedna.org/86.24675

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Area of Interest:

Computer Sciences
Computing Technology
Atmospheric Parameters
Map Reduce
Image Analysis

Selected Publications

  1. Yang, Y., Z. Mao and J. Tang, 2018. Understanding guest satisfaction with urban hotel location. J. Travel Res., 57: 243-259.
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  2. Tang, J. and C.J. Matyas, 2018. Arc4nix: A cross-platform geospatial analytical library for cluster and cloud computing. Comput. Geosci., 111: 159-166.
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  3. Tang, J. and C. Matyas, 2018. A nowcasting model for tropical cyclone precipitation regions based on the TREC motion vector retrieval with a semi-lagrangian scheme for doppler weather radar. Atmosphere, Vol. 9. 10.3390/atmos9050200.
    CrossRef  |  

  4. Matyas, C.J., S.E. Zick and J. Tang, 2018. Using an object-based approach to quantify the spatial structure of reflectivity regions in hurricane Isabel (2003). Part I: Comparisons between radar observations and model simulations. Monthly Weather Rev., 146: 1319-1340.
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  5. Tang, J. and C.J. Matyas, 2016. Fast playback framework for analysis of ground-based Doppler radar observations using MapReduce technology. J. Atmospheric Oceanic Technol., 33: 621-634.
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  6. Yang, Y., J. Tang, H. Luo and R. Law, 2015. Hotel location evaluation: A combination of machine learning tools and web GIS. Int. J. Hospitality Manage., 47: 14-24.
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Member since July, 2018