Estimation and comparison of gabion weir oxygen mass transfer by ensemble learnings of bagging, boosting, and stacking algorithms-Reference-Cited by-同舟云学术

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Estimation and comparison of gabion weir oxygen mass transfer by ensemble learnings of bagging, boosting, and stacking algorithms

Published:2023-04-20 Issue:sup1 Volume:29 Page:196-211
ISSN:0971-5010
Container-title:ISH Journal of Hydraulic Engineering
language:en
Short-container-title:ISH Journal of Hydraulic Engineering

Author:

Luxmi KM¹,Tiwari N. K¹^ORCID,Ranjan S¹

Affiliation:

1. Civil Engineering Department, National Institute of Technology, Kurukshetra, India

Publisher

Informa UK Limited

Subject

Fluid Flow and Transfer Processes,Water Science and Technology,Civil and Structural Engineering,Environmental Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/09715010.2023.2203109

Reference51 articles.

1. Machine-learning-based spectrum sensing enhancement for software-defined radio applications

2. A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups

3. Oxygen Transfer at Hydraulic Structures

4. Aeration performance of weirs;Baylar A.;Water Sa,2000

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Nonlinear ensemble techniques and reliability to estimate oxygen transfer efficiency of rectangular venturi flumes for free flow;ISH Journal of Hydraulic Engineering;2024-08-19

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