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

Author(s): ORCID


Medium: journal article
Language(s): English
Published in: Journal of Environmental Engineering (ASCE), , n. 11, v. 148
DOI: 10.1061/(asce)ee.1943-7870.0002068
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1061/(asce)ee.1943-7870.0002068.
  • About this
    data sheet
  • Reference-ID
    10693654
  • Published on:
    23/09/2022
  • Last updated on:
    23/09/2022
 
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