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AFGT-Net-LSTM: AI-Driven Mobility and Energy Prediction-Based Routing in Energy-Harvesting Mobile AdHoc Networks.

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Title: AFGT-Net-LSTM: AI-Driven Mobility and Energy Prediction-Based Routing in Energy-Harvesting Mobile AdHoc Networks.
Authors: Shyni, H. Mary1, maryshyh@srmist.edu.in, Sakthivelu, U.2, sakthiveluudayakumar@gmail.com, Shalma, H.3, shalma.h@cmrit.ac.in, Theivanai, K.4, theivanai.cse@sonatech.ac.in
Source: International Journal of Interactive Mobile Technologies; 2026, Vol. 20 Issue 19, p117-130, 14p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 197810709
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Interactive+Mobile+Technologies%22">International Journal of Interactive Mobile Technologies</searchLink>; 2026, Vol. 20 Issue 19, p117-130, 14p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=197810709
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        Value: 10.3991/ijim.v20i19.63177
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 117
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      – TitleFull: AFGT-Net-LSTM: AI-Driven Mobility and Energy Prediction-Based Routing in Energy-Harvesting Mobile AdHoc Networks.
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            NameFull: Sakthivelu, U.
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              Text: 2026
              Type: published
              Y: 2026
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              Value: 20
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