Prediction of Delay Occurrence in Disputed Real Estate Projects: An Artificial Neural Network Approach-Reference-Cited by-同舟云学术

Prediction of Delay Occurrence in Disputed Real Estate Projects: An Artificial Neural Network Approach

Published:2024-05 Issue:2 Volume:16 Page:
ISSN:1943-4162
Container-title:Journal of Legal Affairs and Dispute Resolution in Engineering and Construction
language:en
Short-container-title:J. Leg. Aff. Dispute Resolut. Eng. Constr.

Author:

Patel Rutvik A.¹,Patel Mukul B.²,Patel K. A.³,Patel D. A.⁴

Affiliation:

1. Formerly, Postgraduate Student, Dept. of Civil Engineering, Sardar Vallabhbhai National Institute of Technology Surat, Surat, Gujarat 395007, India.

2. Ph.D. Research Scholar, Dept. of Civil Engineering, Sardar Vallabhbhai National Institute of Technology Surat, Surat, Gujarat 395007, India (corresponding author).

3. Assistant Professor, Dept. of Civil Engineering, Sardar Vallabhbhai National Institute of Technology Surat, Surat, Gujarat 395007, India.

4. Associate Professor, Dept. of Civil Engineering, Sardar Vallabhbhai National Institute of Technology Surat, Surat, Gujarat 395007, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Law,Engineering (miscellaneous),Safety, Risk, Reliability and Quality,Civil and Structural Engineering,Building and Construction

Link

https://ascelibrary.org/doi/pdf/10.1061/JLADAH.LADR-1086

Reference36 articles.

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2. Evidence Admissibility and Evaluation Models in Commercial Arbitration

3. Construction claims prediction using ANN models: A case study of the Indian construction industry;Alqershy M. T.;Int. J. Constr. Manage.,2021

4. Predicting the Outcome of Construction Litigation Using Neural Networks

5. Predicting the Outcome of Construction Litigation Using Boosted Decision Trees

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