View in EDS

Machine learning models coupled with empirical mode decomposition for simulating monthly and yearly streamflows: a case study of three watersheds in Ontario, Canada.

Saved in:
Bibliographic Details
Title: Machine learning models coupled with empirical mode decomposition for simulating monthly and yearly streamflows: a case study of three watersheds in Ontario, Canada.
Authors: Parisouj, Peiman1,2, Changhyun Jun1,3, cjun@cau.ac.kr, Bateni, Sayed M.2, Heggy, Essam4,5, Band, Shahab S.6, shahab@yuntech.edu.tw
Source: Engineering Applications of Computational Fluid Mechanics; Dec2023, Vol. 17 Issue 1, p1-28, 28p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 174742073
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Machine learning models coupled with empirical mode decomposition for simulating monthly and yearly streamflows: a case study of three watersheds in Ontario, Canada.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Parisouj%2C+Peiman%22">Parisouj, Peiman</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Changhyun+Jun%22">Changhyun Jun</searchLink><relatesTo>1,3</relatesTo>, <i>cjun@cau.ac.kr</i><br /><searchLink fieldCode="AU" term="%22Bateni%2C+Sayed+M%2E%22">Bateni, Sayed M.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Heggy%2C+Essam%22">Heggy, Essam</searchLink><relatesTo>4,5</relatesTo><br /><searchLink fieldCode="AU" term="%22Band%2C+Shahab+S%2E%22">Band, Shahab S.</searchLink><relatesTo>6</relatesTo>, <i>shahab@yuntech.edu.tw</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Engineering+Applications+of+Computational+Fluid+Mechanics%22">Engineering Applications of Computational Fluid Mechanics</searchLink>; Dec2023, Vol. 17 Issue 1, p1-28, 28p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=174742073
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/19942060.2023.2242445
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 28
        StartPage: 1
    Titles:
      – TitleFull: Machine learning models coupled with empirical mode decomposition for simulating monthly and yearly streamflows: a case study of three watersheds in Ontario, Canada.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Parisouj, Peiman
      – PersonEntity:
          Name:
            NameFull: Changhyun Jun
      – PersonEntity:
          Name:
            NameFull: Bateni, Sayed M.
      – PersonEntity:
          Name:
            NameFull: Heggy, Essam
      – PersonEntity:
          Name:
            NameFull: Band, Shahab S.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 19942060
          Numbering:
            – Type: volume
              Value: 17
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Engineering Applications of Computational Fluid Mechanics
              Type: main
ResultId 1