Discussion of “Estimating Particle Froude Number of Sewer Pipes by Boosting Machine-Learning Models”-Reference-Cited by-同舟云学术

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Discussion of “Estimating Particle Froude Number of Sewer Pipes by Boosting Machine-Learning Models”

Published:2024-02 Issue:1 Volume:15 Page:
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Ebtehaj Isa¹,Montes Carlos²^ORCID,Bonakdari Hossein³^ORCID

Affiliation:

1. Ph.D. Candidate, Dept. of Soils and Agri-Food Engineering, Université Laval, Québec, QC, Canada G1V0A6.

2. Assistant Professor, Dept. of Infrastructure and Sustainability, Universidad de La Sabana, Chía 250001, Colombia. ORCID: .

3. Associate Professor, Dept. of Civil Engineering, Univ. of Ottawa, 161 Louis Pasteur Private, Ottawa, ON, Canada K1N 6N5 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JPSEA2.PSENG-1414

Reference12 articles.

1. Ab Ghani A. 1993. “Sediment transport in sewers.” Ph.D. thesis Dept. of Civil Engineering Newcastle Univ.

2. Closure to “An integrated framework of extreme learning machines for predicting scour at pile groups in clear water condition” by: I. Ebtehaj, H. Bonakdari, F. Moradi, B. Gharabaghi, Z. Sheikh Khozani

3. Combination of sensitivity and uncertainty analyses for sediment transport modeling in sewer pipes

4. Design criteria for sediment transport in sewers based on self-cleansing concept

5. El-Zaemey A. K. S. 1991. “Sediment transport over deposited beds in sewers.” Ph.D. thesis Dept. of Civil Engineering Newcastle Univ.

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