Discussion of "estimating Particle Froude Number of Sewer Pipes by Boosting Machine-Learning Models"

Isa Ebtehaj; Carlos Montes; Hossein Bonakdari

doi:10.1061/JPSEA2.PSENG-1414

Discussion of "estimating Particle Froude Number of Sewer Pipes by Boosting Machine-Learning Models"

Isa Ebtehaj
, Carlos Montes
, Hossein Bonakdari

Université Laval
University of Ottawa

Research output: Contribution to journal › Comment/debate

Original language	English
Article number	07023004
Journal	Journal of Pipeline Systems Engineering and Practice
Volume	15
Issue number	1
DOIs	https://doi.org/10.1061/JPSEA2.PSENG-1414
State	Published - 1 Feb 2024

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10.1061/JPSEA2.PSENG-1414

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title = "Discussion of {"}estimating Particle Froude Number of Sewer Pipes by Boosting Machine-Learning Models{"}",

author = "Isa Ebtehaj and Carlos Montes and Hossein Bonakdari",

year = "2024",

month = feb,

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doi = "10.1061/JPSEA2.PSENG-1414",

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journal = "Journal of Pipeline Systems Engineering and Practice",

issn = "1949-1190",

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TY - JOUR

T1 - Discussion of "estimating Particle Froude Number of Sewer Pipes by Boosting Machine-Learning Models"

AU - Ebtehaj, Isa

AU - Montes, Carlos

AU - Bonakdari, Hossein

PY - 2024/2/1

Y1 - 2024/2/1

UR - https://www.scopus.com/pages/publications/85177451479

U2 - 10.1061/JPSEA2.PSENG-1414

DO - 10.1061/JPSEA2.PSENG-1414

M3 - Comentario/Debate

AN - SCOPUS:85177451479

SN - 1949-1190

VL - 15

JO - Journal of Pipeline Systems Engineering and Practice

JF - Journal of Pipeline Systems Engineering and Practice

IS - 1

M1 - 07023004

ER -

Discussion of "estimating Particle Froude Number of Sewer Pipes by Boosting Machine-Learning Models"

Strategic Focuses

Indexación Internacional (Artículo)

Scopus-Q Quartil

ISI- Q Quartil

Categoría Publindex

Access to Document

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