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Predicting Student Engagement Characteristics Using a Multi-Instance Localization Approach with a Gradient-Boosted Deep LSTM Classifier.

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Title: Predicting Student Engagement Characteristics Using a Multi-Instance Localization Approach with a Gradient-Boosted Deep LSTM Classifier.
Authors: Adgaeg, Henda1, henda.dgaeg@hotmail.com, Nat, Muesser2
Source: Applied Sciences (2076-3417); Jul2026, Vol. 16 Issue 13, p6337, 37p
Database: Applied Science & Technology Source
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        Value: 10.3390/app16136337
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      – Code: eng
        Text: English
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        PageCount: 37
        StartPage: 6337
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      – TitleFull: Predicting Student Engagement Characteristics Using a Multi-Instance Localization Approach with a Gradient-Boosted Deep LSTM Classifier.
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            NameFull: Adgaeg, Henda
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              Text: Jul2026
              Type: published
              Y: 2026
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