Academic Journal

Simulation-based optimization of energy harvesting systems for 6G networks using deep reinforcement learning

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Simulation-based optimization of energy harvesting systems for 6G networks using deep reinforcement learning
Συγγραφείς: Imran, AlAff1, Aff2, IDs44354025000098_cor1, Li, ChangbiaoAff1, Aff2, IDs44354025000098_cor2, Zhang, YanpengAff1, Aff2, IDs44354025000098_cor3
Πηγή: Discover Networks. 1(1)
Βάση Δεδομένων: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1007/s44354-025-00009-8
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PubType: Academic Journal
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  Data: Simulation-based optimization of energy harvesting systems for 6G networks using deep reinforcement learning
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  Data: <i>Discover Networks</i>. 1(1)
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        Value: 10.1007/s44354-025-00009-8
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      – Text: English
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      – TitleFull: Simulation-based optimization of energy harvesting systems for 6G networks using deep reinforcement learning
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            NameFull: Li, Changbiao
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            – D: 01
              M: 12
              Type: published
              Y: 2025
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