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    Construction Equipment Identification Using Marker-Based Recognition and an Active Zoom Camera 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 003
    Author(s): Ehsan Rezazadeh Azar
    Publisher: American Society of Civil Engineers
    Abstract: Control systems have proven to be beneficial in improving the productivity of earthmoving operations. A main component of these systems is the monitoring module. Computer vision algorithms are among the new methods that ...
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    Construction Equipment Identification Using Marker-Based Recognition and an Active Zoom Camera 

    Source: Journal of Computing in Civil Engineering:;2016:;Volume ( 030 ):;issue: 003
    Author(s): Ehsan Rezazadeh Azar
    Publisher: American Society of Civil Engineers
    Abstract: Control systems have proven to be beneficial in improving the productivity of earthmoving operations. A main component of these systems is the monitoring module. Computer vision algorithms are among the new methods that ...
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    Semantic Annotation of Videos from Equipment-Intensive Construction Operations by Shot Recognition and Probabilistic Reasoning 

    Source: Journal of Computing in Civil Engineering:;2017:;Volume ( 031 ):;issue: 005
    Author(s): Ehsan Rezazadeh Azar
    Publisher: American Society of Civil Engineers
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    Automated Visual Recognition of Dump Trucks in Construction Videos 

    Source: Journal of Computing in Civil Engineering:;2012:;Volume ( 026 ):;issue: 006
    Author(s): Ehsan Rezazadeh Azar; Brenda McCabe
    Publisher: American Society of Civil Engineers
    Abstract: Earthmoving plants are essential but costly resources in the construction of heavy civil engineering projects. In addition to proper allocation, ongoing control of this equipment is necessary to ensure and increase the ...
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    Semantic Segmentation of Defects in Infrared Thermographic Images of Highly Damaged Concrete Structures 

    Source: Journal of Performance of Constructed Facilities:;2021:;Volume ( 035 ):;issue: 001:;page 04020131
    Author(s): Sandra Pozzer; Ehsan Rezazadeh Azar; Francisco Dalla Rosa; Zacarias Martin Chamberlain Pravia
    Publisher: ASCE
    Abstract: There is a global research trend to enhance condition assessment of the concrete infrastructure by the development of advanced nondestructive testing (NDT) methods. Computer vision–based systems have been developed to ...
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    Distress Recognition in Unpaved Roads Using Unmanned Aerial Systems and Deep Learning Segmentation 

    Source: Journal of Computing in Civil Engineering:;2021:;Volume ( 035 ):;issue: 002:;page 04020061-1
    Author(s): Tanzim Nasiruddin Khilji; Luana Lopes Amaral Loures; Ehsan Rezazadeh Azar
    Publisher: ASCE
    Abstract: Effective condition assessment of road networks has been known to decrease road maintenance expenses and operation cost of the users. Several automated methods, such as computer vision–based systems, have been developed ...
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    Automated Assessment of Public Transit Bus Stops Using Computer Vision Methods 

    Source: Journal of Computing in Civil Engineering:;2023:;Volume ( 037 ):;issue: 005:;page 04023021-1
    Author(s): Seyed Masoud Shameli; Brad Loroff; Robert Jancev; Shahrzad Borjian; Ehsan Rezazadeh Azar
    Publisher: ASCE
    Abstract: Transit bus systems are an essential part of public transportation systems and they improve the accessibility of the communities and economical activities. On-street assets, namely bus stops, are key elements of public bus ...
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    IFC-Based Development of As-Built and As-Is BIMs Using Construction and Facility Inspection Data: Site-to-BIM Data Transfer Automation 

    Source: Journal of Computing in Civil Engineering:;2018:;Volume ( 032 ):;issue: 002
    Author(s): Hesam Hamledari; Ehsan Rezazadeh Azar; Brenda McCabe
    Publisher: American Society of Civil Engineers
    Abstract: Accurate and proactive inspection of constructed objects and identification of their defects and design conformity is vital to both facility management and construction projects. A project’s building information model (BIM) ...
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    Server-Customer Interaction Tracker: Computer Vision–Based System to Estimate Dirt-Loading Cycles 

    Source: Journal of Construction Engineering and Management:;2013:;Volume ( 139 ):;issue: 007
    Author(s): Ehsan Rezazadeh Azar; Sven Dickinson; Brenda McCabe
    Publisher: American Society of Civil Engineers
    Abstract: Real-time monitoring of heavy equipment can help practitioners improve machine-intensive and cyclic earthmoving operations. It can also provide reliable data for future planning. Surface earthmoving job sites are among the ...
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    Estimating Stripping of Asphalt Coating Using k-Means Clustering and Machine Learning–Based Classification 

    Source: Journal of Computing in Civil Engineering:;2020:;Volume ( 034 ):;issue: 001
    Author(s): Ashkan Sahari Moghaddam; Ehsan Rezazadeh Azar; Yolibeth Mejias; Heather Bell
    Publisher: ASCE
    Abstract: Stripping is a primary form of moisture-related damage in hot mix asphalt, which mainly results from a loss of bond between the asphalt cement and aggregate. Static immersion and boiling water tests are common methods to ...
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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
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