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    The Comparisons of Electrical Performance and Impedance Spectrum for Two Commercial Cells 

    Source: Journal of Fuel Cell Science and Technology:;2014:;volume( 011 ):;issue: 005:;page 51002
    Author(s): Cheng, Yung; Cheng, Shih; Lee, Ruey
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A solid oxide fuel cell (SOFC), which is a kind of fuel cell (FC) converting chemical energy into electricity directly without mechanical parts, has potential for the clean and efficient power generation from a wide variety ...
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    System Reliability Analysis of Soil Slopes Using an Advanced Kriging Metamodel and Quasi–Monte Carlo Simulation 

    Source: International Journal of Geomechanics:;2018:;Volume ( 018 ):;issue: 008
    Author(s): Liu Lei-Lei;Cheng Yung-Ming
    Publisher: American Society of Civil Engineers
    Abstract: Enhancing the efficiency and accuracy of the system reliability analysis of soil slopes is of great importance in engineering design. An advanced kriging metamodel integrated with the quasi–Monte Carlo simulation (AKQMCS) ...
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    Extracting 3D Radar Features to Improve Quantitative Precipitation Estimation in Complex Terrain Based on Deep Learning Neural Networks 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 002:;page 273
    Author(s): Cheng, Yung-Yun; Chang, Chia-Tung; Chen, Buo-Fu; Kuo, Hung-Chi; Lee, Cheng-Shang
    Publisher: American Meteorological Society
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    Analysis of Long-Term and Thermal Cycling Tests for a Commercial Solid Oxide Fuel Cell 

    Source: Journal of Electrochemical Energy Conversion and Storage:;2017:;volume( 014 ):;issue: 004:;page 41002
    Author(s): Lee, Dustin; Lin, Jing-Kai; Tsai, Chun-Huang; Wu, Szu-Han; Cheng, Yung-Neng; Lee, Ruey-Yi
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The effects of isothermally long-term and thermal cycling tests on the performance of an ASC type commercial solid oxide fuel cell (SOFC) have been investigated. For the long-term test, the cells were tested over 5000 h ...
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    Extracting 3D Radar Features to Improve Quantitative Precipitation Estimation in Complex Terrain Based on Deep Learning Neural Networks 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 002
    Author(s): Cheng, Yung-Yun; Chang, Chia-Tung; Chen, Buo-Fu; Kuo, Hung-Chi; Lee, Cheng-Shang
    Publisher: American Meteorological Society
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