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    Mechanics-Guided Genetic Programming Expression for Shear-Strength Prediction of Squat Reinforced Concrete Walls with Boundary Elements 

    Source: Journal of Structural Engineering:;2020:;Volume ( 146 ):;issue: 011
    Author(s): Ahmed Gondia; Mohamed Ezzeldin; Wael El-Dakhakhni
    Publisher: ASCE
    Abstract: Squat reinforced concrete shear walls with boundary elements (SRCSW-BE) are used in special structures (e.g., nuclear facilities) to resist lateral seismic loads. However, several studies have demonstrated the inaccuracy ...
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    Machine Learning–Based Decision Support Framework for Construction Injury Severity Prediction and Risk Mitigation 

    Source: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2022:;Volume ( 008 ):;issue: 003:;page 04022024
    Author(s): Ahmed Gondia; Mohamed Ezzeldin; Wael El-Dakhakhni
    Publisher: ASCE
    Abstract: Construction is a key pillar in the global economy, but it is also an industry that has one of the highest fatality rates. The goal of the current study is to employ machine learning in order to develop a framework based ...
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    Machine Learning Algorithms for Construction Projects Delay Risk Prediction 

    Source: Journal of Construction Engineering and Management:;2020:;Volume ( 146 ):;issue: 001
    Author(s): Ahmed Gondia; Ahmad Siam; Wael El-Dakhakhni; Ayman H. Nassar
    Publisher: ASCE
    Abstract: Projects delays are among the most pressing challenges faced by the construction sector attributed to the sector’s complexity and its inherent delay risk sources’ interdependence. Machine learning offers an ideal set of ...
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