A Comprehensive Review of Hybrid Deep Learning Techniques for Forecasting Tourist Arrivals.
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| Title: | A Comprehensive Review of Hybrid Deep Learning Techniques for Forecasting Tourist Arrivals. |
|---|---|
| Authors: | Mukhtar, Harun1, harunmukhtar@umri.ac.id, Fatma, Yulia2, yuliafatma@umri.ac.id, Nabila, Sarah3, 220401207@student.umri.ac.id, Irawan, Ridho3, 220401216@student.umri.ac.id, Istana, Budi4, budiistana@umri.ac.id, Remli, Muhammad Akmal5, akmal@umk.edu.my, Sakinah, Indah Citra6, citrasakinahindah@gmail.com, Wan Salihin Wong, Khairul Nizar Syazwan5, nizar.w@umk.edu.my, Al Rian, Rahmad7, rahmadalrian@umri.ac.id, Mohamad, Mohd Saberi8, saberi@aucu.ac.ae |
| Source: | IAENG International Journal of Computer Science; Jan2026, Vol. 53 Issue 1, p176-187, 12p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 190604253 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190604253 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 176 Titles: – TitleFull: A Comprehensive Review of Hybrid Deep Learning Techniques for Forecasting Tourist Arrivals. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Mukhtar, Harun – PersonEntity: Name: NameFull: Fatma, Yulia – PersonEntity: Name: NameFull: Nabila, Sarah – PersonEntity: Name: NameFull: Irawan, Ridho – PersonEntity: Name: NameFull: Istana, Budi – PersonEntity: Name: NameFull: Remli, Muhammad Akmal – PersonEntity: Name: NameFull: Sakinah, Indah Citra – PersonEntity: Name: NameFull: Wan Salihin Wong, Khairul Nizar Syazwan – PersonEntity: Name: NameFull: Al Rian, Rahmad – PersonEntity: Name: NameFull: Mohamad, Mohd Saberi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1819656X Numbering: – Type: volume Value: 53 – Type: issue Value: 1 Titles: – TitleFull: IAENG International Journal of Computer Science Type: main |
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