YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    Search 
    •   YE&T Library
    • Search
    •   YE&T Library
    • Search
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Search

    Show Advanced FiltersHide Advanced Filters

    Filters

    Use filters to refine the search results.

    Now showing items 1-3 of 3

    • Relevance
    • Title Asc
    • Title Desc
    • Year Asc
    • Year Desc
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100
  • Export
    • CSV
    • RIS
    • Sort Options:
    • Relevance
    • Title Asc
    • Title Desc
    • Issue Date Asc
    • Issue Date Desc
    • Results Per Page:
    • 5
    • 10
    • 20
    • 40
    • 60
    • 80
    • 100

    Does a Technology Incubator Work in the Regional Economy? Evidence from South Korea 

    Source: Journal of Urban Planning and Development:;2010:;Volume ( 136 ):;issue: 003
    Author(s): Ha-Young Kim; Chang Mu Jung
    Publisher: American Society of Civil Engineers
    Abstract: There has been a recent trend among policymakers to consider the science park as a knowledge-based economic development strategy—one that encourages and supports the start-up and development of innovation-led industry. ...
    Request PDF

    Estimating Compressive Strength of Concrete Using Deep Convolutional Neural Networks with Digital Microscope Images 

    Source: Journal of Computing in Civil Engineering:;2019:;Volume (033):;issue:003
    Author(s): Youjin Jang;Yonghan Ahn;Ha Young Kim
    Publisher: American Society of Civil Engineers
    Abstract: Compressive strength is a critical indicator of concrete quality for ensuring the safety of existing concrete structures. As an alternative to existing nondestructive testing methods, image-based concrete compressive ...
    Request PDF

    Estimating Compressive Strength of Concrete Using Deep Convolutional Neural Networks with Digital Microscope Images 

    Source: Journal of Computing in Civil Engineering:;2019:;Volume ( 033 ):;issue: 003
    Author(s): Youjin Jang; Yonghan Ahn; Ha Young Kim
    Publisher: American Society of Civil Engineers
    Abstract: Compressive strength is a critical indicator of concrete quality for ensuring the safety of existing concrete structures. As an alternative to existing nondestructive testing methods, image-based concrete compressive ...
    Request PDF
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     

    Author

    Publisher

    Year

    Type

    Content Type

    Publication Title

    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian