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    Integration of a Natural Language Processing and Project Scheduling Tool for Contractual Delay Risk Identification in a Highway Construction Project Using LLMs 

    Source: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction:;2026:;Volume ( 018 ):;issue: 003:;page 04526026-1
    Author(s): Manda, Gaureeshwar; Vilventhan, Aneetha
    Publisher: American Society of Civil Engineers
    Abstract: AbstractConstruction contracts contain essential information regarding delay clauses. These clauses are associated with improper execution of work in accordance with contractual requirements. Contract documents require ...
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    Predictive Maintenance of Metro Rail Station Facilities Using Tree-Based Machine-Learning Algorithms 

    Source: Journal of Performance of Constructed Facilities:;2026:;Volume ( 040 ):;issue: 001:;page 04025074-1
    Author(s): Alothman, Ahmad; Malraj, Manvitha; Vilventhan, Aneetha
    Publisher: American Society of Civil Engineers
    Abstract: AbstractStation facilities are essential components of metro rail systems. The effective maintenance management of station facilities is crucial for ensuring operational efficiency, passenger safety, and cost-effectiveness. ...
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    Development of Building Information Model–Enabled Facility Management for Metro Rail Stations 

    Source: Journal of Construction Engineering and Management:;2025:;Volume ( 151 ):;issue: 003:;page 05024018-1
    Author(s): Alothman, Ahmad; Vilventhan, Aneetha
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe facility management (FM) of the metro rail is a complex and challenging task due to numerous station facilities, their operational interdependencies, and limited historical maintenance data. While there have ...
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    Identification of Dispute Causes and Analysis of Resolution Mechanisms in Metro Rail Projects Using a Fuzzy Approach 

    Source: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction:;2025:;Volume ( 017 ):;issue: 004:;page 04525064-1
    Author(s): Macherla, Uma Ravi Teja; Vilventhan, Aneetha
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe construction industry is highly susceptible to project disputes, which frequently arise from unexpected circumstances and result in considerable time delays and financial losses. Consequently, collaborative ...
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