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Hybrid Transformer-CNN architecture for multivariate time series forecasting: Integrating attention mechanisms with convolutional feature extraction.

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Title: Hybrid Transformer-CNN architecture for multivariate time series forecasting: Integrating attention mechanisms with convolutional feature extraction.
Authors: El Zaar, Abdellah1, abdellah.el-zaar@u-bourgogne.fr, Mansouri, Amine1, Amine.Mansouri@u-bourgogne.fr, Benaya, Nabil2, nabil.benaya@gmail.com, Bakir, Toufik1, toufik.bakir@u-bourgogne.fr, El Allati, Abderrahim2, abdou.allati@gmail.com
Source: Journal of Intelligent Information Systems; Aug2025, Vol. 63 Issue 4, p1233-1264, 32p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 186779704
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PubType: Academic Journal
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186779704
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10844-025-00937-5
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      – Code: eng
        Text: English
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        PageCount: 32
        StartPage: 1233
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      – TitleFull: Hybrid Transformer-CNN architecture for multivariate time series forecasting: Integrating attention mechanisms with convolutional feature extraction.
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            NameFull: El Zaar, Abdellah
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            NameFull: Mansouri, Amine
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            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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              Value: 63
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