Closure to “Artificial Intelligence and Parametric Construction Cost Estimate Modeling: State-of-the-Art Review” by Haytham H. Elmousalami
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VIEW THE ORIGINAL ARTICLEPublication: Journal of Construction Engineering and Management
Volume 147, Issue 6
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References
Elmousalami, H. H. 2020a. “Artificial intelligence and parametric construction cost estimate modeling: State-of-the-art review.” J. Constr. Eng. Manage. 146 (1): 03119008. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001678.
Elmousalami, H. H. 2020b. “Comparison of artificial intelligence techniques for project conceptual cost prediction: A case study and comparative analysis.” IEEE Trans. Eng. Manage. 68 (1): 183–196.
Elmousalami, H. H. 2020c. “Data on field canals improvement projects for cost prediction using artificial intelligence.” Data Brief 31: 105688.
Elmousalami, H. H., A. H. Elyamany, and A. H. Ibrahim. 2018a. “Evaluation of cost drivers for field canals improvement projects.” Water Resour. Manage. 32 (1): 53–65.
Elmousalami, H. H., A. H. Elyamany, and A. H. Ibrahim. 2018b. “Predicting conceptual cost for field canal improvement projects.” J. Constr. Eng. Manage. 144 (11): 04018102. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001561.
Elmousalami, H. H. 2019. “Intelligent methodology for project conceptual cost prediction.” Heliyon 5 (5): e01625.
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© 2021 American Society of Civil Engineers.
History
Received: Jul 30, 2020
Accepted: Dec 14, 2020
Published online: Mar 26, 2021
Published in print: Jun 1, 2021
Discussion open until: Aug 26, 2021
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