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    Litigation Outcome Prediction of Differing Site Condition Disputes through Machine Learning Models 

    Source: Journal of Computing in Civil Engineering:;2012:;Volume ( 026 ):;issue: 003
    Author(s): Tarek Mahfouz; Amr Kandil
    Publisher: American Society of Civil Engineers
    Abstract: The construction industry is one of the main sectors of the U.S. economy that has a major effect on the nation’s growth and prosperity. The construction industry’s contribution to the nation’s economy is, however, impeded ...
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    Legal Review of Conditions Precedent to Dispute Resolution in Construction Contracts 

    Source: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction:;2013:;Volume ( 005 ):;issue: 001
    Author(s): Mohammed Al Qady; Amr Kandil; John M. Stuckey; Tarek Mahfouz
    Publisher: American Society of Civil Engineers
    Abstract: Dispute resolution procedures specified in construction contracts commonly contain conditions precedent that can ultimately affect the entitlements of the parties in case a dispute occurs. This study discusses various ...
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    Civil Engineering Grand Challenges: Opportunities for Data Sensing, Information Analysis, and Knowledge Discovery 

    Source: Journal of Computing in Civil Engineering:;2014:;Volume ( 028 ):;issue: 004
    Author(s): Burcin Becerik-Gerber; Mohsin K. Siddiqui; Ioannis Brilakis; Omar El-Anwar; Nora El-Gohary; Tarek Mahfouz; Gauri M. Jog; Shuai Li; Amr A. Kandil
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents an exploratory analysis to identify civil engineering challenges that can be addressed with further data sensing and analysis (DSA) research. An initial literature review was followed by a web-based ...
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