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
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DbLabel: Applied Science & Technology Source
An: 190604253
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  Data: A Comprehensive Review of Hybrid Deep Learning Techniques for Forecasting Tourist Arrivals.
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  Data: <searchLink fieldCode="JN" term="%22IAENG+International+Journal+of+Computer+Science%22">IAENG International Journal of Computer Science</searchLink>; Jan2026, Vol. 53 Issue 1, p176-187, 12p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190604253
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      – Code: eng
        Text: English
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              Text: Jan2026
              Type: published
              Y: 2026
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