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    Wind Turbine Blade Damage Detection Using Supervised Machine Learning Algorithms 

    Source: Journal of Vibration and Acoustics:;2017:;volume( 139 ):;issue: 006:;page 61010
    Author(s): Regan, Taylor; Beale, Christopher; Inalpolat, Murat
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Wind turbine blades undergo high operational loads, experience variable environmental conditions, and are susceptible to failure due to defects, fatigue, and weather-induced damage. These large-scale composite structures ...
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    A Global Analysis of Land Surface Temperature Diurnal Cycle Using MODIS Observations 

    Source: Journal of Applied Meteorology and Climatology:;2019:;volume 058:;issue 006:;page 1279
    Author(s): Sharifnezhadazizi, Zahra; Norouzi, Hamid; Prakash, Satya; Beale, Christopher; Khanbilvardi, Reza
    Publisher: American Meteorological Society
    Abstract: AbstractDiurnal variations of land surface temperature (LST) play a vital role in a wide range of applications such as climate change assessment, land?atmosphere interactions, and heat-related health issues in urban regions. ...
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    DSpace software copyright © 2002-2015  DuraSpace
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian