Application of Machine Learning Methods in Estimating the Oxygenation Performance of Various Configurations of Plunging Hollow Jet Aerators-Reference-Cited by-同舟云学术

Application of Machine Learning Methods in Estimating the Oxygenation Performance of Various Configurations of Plunging Hollow Jet Aerators

Published:2022-11 Issue:11 Volume:148 Page:
ISSN:0733-9372
Container-title:Journal of Environmental Engineering
language:en
Short-container-title:J. Environ. Eng.

Author:

Kumar Munish¹^ORCID,Tiwari N. K.²,Ranjan Subodh³

Affiliation:

1. Guest Faculty, Dept. of Civil Engineering, National Institute of Technology Kurukshetra, Haryana 136119, India (corresponding author). ORCID: .

2. Associate Professor, Dept. of Civil Engineering, National Institute of Technology Kurukshetra, Haryana 136119, India.

3. Professor, Dept.of Civil Engineering, National Institute of Technology Kurukshetra, Haryana 136119, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Civil and Structural Engineering,Environmental Chemistry,Environmental Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EE.1943-7870.0002068

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3. The Effect of Nozzle Type on Air Entrainment by Plunging Water Jets

4. Prediction of Flow and Oxygen Transfer by a Plunging Water Jets with Genetic Expression Programming (GEP) Models

5. A predictive model on air entrainment by plunging water jets using GEP and ANN

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