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    Core Competencies for Construction Project Management: Literature Review and Content Analysis 

    Source: Journal of Civil Engineering Education:;2021:;Volume ( 147 ):;issue: 004:;page 04021010-1
    Author(s): Fatemeh Pariafsai; Amir H. Behzadan
    Publisher: ASCE
    Abstract: Although the construction industry is a major player in the global economy, it is dealing with problems such as declining productivity, workplace safety, and work disputes. The human element—construction project managers ...
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    Knowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining 

    Source: Journal of Construction Engineering and Management:;2013:;Volume ( 139 ):;issue: 011
    Author(s): Reza Akhavian; Amir H. Behzadan
    Publisher: American Society of Civil Engineers
    Abstract: In order to develop a realistic simulation model, it is critical to provide the model with factual input data based on the interactions and events that take place between real entities. However, the existing trend in ...
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    Erratum for “Knowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining” by Reza Akhavian and Amir H. Behzadan 

    Source: Journal of Construction Engineering and Management:;2014:;Volume ( 140 ):;issue: 002
    Author(s): Reza Akhavian; Amir H. Behzadan
    Publisher: American Society of Civil Engineers
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    Closure to “Knowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining” by Reza Akhavian and Amir H. Behzadan 

    Source: Journal of Construction Engineering and Management:;2014:;Volume ( 140 ):;issue: 010
    Author(s): Reza Akhavian; Amir H. Behzadan
    Publisher: American Society of Civil Engineers
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    Risk Behavior-Based Trajectory Prediction for Construction Site Safety Monitoring 

    Source: Journal of Construction Engineering and Management:;2018:;Volume ( 144 ):;issue: 002
    Author(s): Khandakar M. Rashid; Amir H. Behzadan
    Publisher: American Society of Civil Engineers
    Abstract: Construction sites are often described as some of the most hazardous work environments due to the unscripted nature of tasks which puts workers and equipment in close proximity, potentially resulting in near-miss situations ...
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    Georeferenced Registration of Construction Graphics in Mobile Outdoor Augmented Reality 

    Source: Journal of Computing in Civil Engineering:;2007:;Volume ( 021 ):;issue: 004
    Author(s): Amir H. Behzadan; Vineet R. Kamat
    Publisher: American Society of Civil Engineers
    Abstract: This paper describes research that investigated the application of the global positioning system and 3 degree-of-freedom (3-DOF) angular tracking to address the registration problem during interactive visualization of ...
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    Automated Generation of Operations Level Construction Animations in Outdoor Augmented Reality 

    Source: Journal of Computing in Civil Engineering:;2009:;Volume ( 023 ):;issue: 006
    Author(s): Amir H. Behzadan; Vineet R. Kamat
    Publisher: American Society of Civil Engineers
    Abstract: Three-dimensional (3D) visualization is an effective tool for communicating, verifying, and validating the results of a simulated operation. Traditional visualization tools used for this purpose are typically based on the ...
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    Detection and Semantic Segmentation of Disaster Damage in UAV Footage 

    Source: Journal of Computing in Civil Engineering:;2021:;Volume ( 035 ):;issue: 002:;page 04020063
    Author(s): Yalong Pi; Nipun D. Nath; Amir H. Behzadan
    Publisher: ASCE
    Abstract: In the aftermath of large-scale disasters, such as hurricanes, floods, or earthquakes, preliminarily damage assessment (PDA) is carried out to determine the impact and magnitude of damage and meet the needs of affected ...
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    Physiological Data Models to Understand the Effectiveness of Drone Operation Training in Immersive Virtual Reality 

    Source: Journal of Computing in Civil Engineering:;2021:;Volume ( 035 ):;issue: 001:;page 04020053
    Author(s): Md Nazmus Sakib; Theodora Chaspari; Amir H. Behzadan
    Publisher: ASCE
    Abstract: Data collection using unmanned aerial vehicles (UAVs) in construction and heavy civil projects is subject to compliance with strict operational rules and safety regulations. Both the US Federal Aviation Administration (FAA) ...
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    Deep Learning for Visual Analytics of the Spread of COVID-19 Infection in Crowded Urban Environments 

    Source: Natural Hazards Review:;2021:;Volume ( 022 ):;issue: 003:;page 04021019-1
    Author(s): Yalong Pi; Nipun D. Nath; Shruthi Sampathkumar; Amir H. Behzadan
    Publisher: ASCE
    Abstract: The novel SARS-CoV-2 coronavirus caused a global pandemic in 2020 with millions of diagnosed cases and a staggering number of deaths. As a preventive measure, many governments issued social distancing and shelter-in-place ...
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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
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