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    Examining the Influence of Heat Stress Prevention Training on the Knowledge and Health-Related Behavior of the Construction Workforce 

    Source: Journal of Structural Design and Construction Practice:;2025:;Volume ( 030 ):;issue: 003:;page 04025029-1
    Author(s): Mehdi Torbat Esfahani; Ibukun Awolusi; Yilmaz Hatipkarasulu
    Publisher: American Society of Civil Engineers
    Abstract: Although several research studies have investigated heat stress prevention in the construction industry, a limited number of studies have examined the efficacy of heat stress training interventions in enhancing heat-related ...
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    Construction Equipment Operator Physiological Data Assessment and Tracking 

    Source: Practice Periodical on Structural Design and Construction:;2017:;Volume ( 022 ):;issue: 004
    Author(s): Xu Shen; Ibukun Awolusi; Eric Marks
    Publisher: American Society of Civil Engineers
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    Qualifications and Staffing Requirements of Safety Personnel in Construction 

    Source: Practice Periodical on Structural Design and Construction:;2017:;Volume ( 022 ):;issue: 004
    Author(s): Ibukun Awolusi; Eric Marks; Stephanie Vereen
    Publisher: American Society of Civil Engineers
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    Adaptation Behavior of Construction Workers Using Wearable Sensing Devices for Safety and Health Monitoring 

    Source: Journal of Management in Engineering:;2024:;Volume ( 040 ):;issue: 001:;page 04023055-1
    Author(s): Ibukun Awolusi; Chukwuma Nnaji; Ifeanyi Okpala; Alex Albert
    Publisher: ASCE
    Abstract: The adoption and acceptance of new cutting-edge technologies such as wearable sensing devices (WSDs) have been investigated for personal use in a few industries, but concerns remain about worker postadoption behavior, ...
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    Impacts of Collaborative Robots on Construction Work Performance and Worker Perception: Experimental Analysis of Human–Robot Collaborative Wood Assembly 

    Source: Journal of Construction Engineering and Management:;2024:;Volume ( 150 ):;issue: 008:;page 04024087-1
    Author(s): Xiaoyun Liang; Usman Rasheed; Jiannan Cai; Bastian Wibranek; Ibukun Awolusi
    Publisher: American Society of Civil Engineers
    Abstract: Collaborative robots are increasingly recognized as potential assistants to relieve workers from repetitive and physically demanding tasks on construction jobsites. Despite the great potential, most efforts have focused ...
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    InerSens: A Block-Based Programming Platform for Learning Sensor Data Analytics in Construction Engineering Programs 

    Source: Journal of Architectural Engineering:;2024:;Volume ( 030 ):;issue: 003:;page 04024023-1
    Author(s): Mohammad Khalid; Abiola Akanmu; Adedeji Afolabi; Homero Murzi; Ibukun Awolusi; Philip Agee
    Publisher: American Society of Civil Engineers
    Abstract: Construction firms face challenges in sourcing qualified candidates for enhancing project outcomes through sensor data analytics. There are limited tools for teaching students from construction-related disciplines how to ...
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    Trends of Occupational Fatal and Nonfatal Injuries in Electrical and Mechanical Specialty Contracting Sectors: Necessity for a Learning Investigation System 

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 007:;page 04021069-1
    Author(s): Ahmed Jalil Al-Bayati; Maha Al-Kasasbeh; Ibukun Awolusi; Osama Abudayyeh; Tariq Umar
    Publisher: ASCE
    Abstract: The specialty electrical and mechanical contracting sectors provide crucial services and perform functions that are vital to the products delivered by the construction industry. The main purpose of this study is to investigate ...
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    Industry Perception of the Knowledge and Skills Required to Implement Sensor Data Analytics in Construction 

    Source: Journal of Civil Engineering Education:;2024:;Volume ( 150 ):;issue: 001:;page 04023010-1
    Author(s): Mohammad Khalid; Abiola Akanmu; Homero Murzi; Sang Won Lee; Ibukun Awolusi; Daniel Manesh; Chinedu Okonkwo
    Publisher: ASCE
    Abstract: Construction, one of the largest industries in the world, consistently underperforms and faces barriers in leveraging the full potential of applying analytics to sensor data due to a lack of a skilled workforce. The prospects ...
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    Developing a Success Model for Assessing the Impact of Wearable Sensing Devices in the Construction Industry 

    Source: Journal of Construction Engineering and Management:;2021:;Volume ( 147 ):;issue: 007:;page 04021060-1
    Author(s): Ifeanyi Okpala; Chukwuma Nnaji; Ibukun Awolusi; Abiola Akanmu
    Publisher: ASCE
    Abstract: In a bid to optimize jobsite safety, wearable sensing devices (WSDs) are slowly emerging as a class of viable tools with strong potential to improve safety measurement and monitoring. While some industries have successfully ...
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    DSpace software copyright © 2002-2015  DuraSpace
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