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G-CTRNN: A Trainable Low-Power Continuous-Time Neural Network for Human Activity Recognition in Healthcare Applications.

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Title: G-CTRNN: A Trainable Low-Power Continuous-Time Neural Network for Human Activity Recognition in Healthcare Applications.
Authors: Alzubi, Abdallah1, Lin, David2, Reimann, Johan1,2, Alsaleem, Fadi1,2, falsaleem2@unl.edu
Source: Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7508, 14p
Database: Applied Science & Technology Source
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        Value: 10.3390/app15137508
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      – Code: eng
        Text: English
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        PageCount: 14
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      – TitleFull: G-CTRNN: A Trainable Low-Power Continuous-Time Neural Network for Human Activity Recognition in Healthcare Applications.
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            NameFull: Alzubi, Abdallah
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            NameFull: Lin, David
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              Text: Jul2025
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              Y: 2025
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