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Adaptive energy-efficient control of IoT wake-up radio systems using deep reinforcement learning and DQN optimization.

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Title: Adaptive energy-efficient control of IoT wake-up radio systems using deep reinforcement learning and DQN optimization.
Authors: Chauhan, Naman1 (AUTHOR) namanchauhan200293@gmail.com, Mohan, G. Bharathi1 (AUTHOR) g_bharathimohan@ch.amrita.edu, Sulochana, V.2 (AUTHOR) sulo62002@yahoo.com, Kumar, R. Prasanna1 (AUTHOR) kumarprasanna.r@gmail.com
Source: AIP Conference Proceedings. 2026, Vol. 3369 Issue 1, p1-9. 9p.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 192464492
AccessLevel: 2
PubType: Conference
PubTypeId: conference
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  Data: Adaptive energy-efficient control of IoT wake-up radio systems using deep reinforcement learning and DQN optimization.
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  Data: <searchLink fieldCode="JN" term="%22AIP+Conference+Proceedings%22">AIP Conference Proceedings</searchLink>. 2026, Vol. 3369 Issue 1, p1-9. 9p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192464492
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        Value: 10.1063/5.0317347
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      – Code: eng
        Text: English
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        PageCount: 9
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      – TitleFull: Adaptive energy-efficient control of IoT wake-up radio systems using deep reinforcement learning and DQN optimization.
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              Text: 2026
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              Y: 2026
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              Value: 3369
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