Normalized computation rate for N = 10.

<div><p>Mobile Edge Computing (MEC) is a computational paradigm that brings resources closer to the network edge to provide fast and efficient computing services for Mobile Devices (MDs). However, MDs are often constrained by limited energy and computational resources, which are insuffic...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Hend Bayoumi (22693738) (author)
مؤلفون آخرون:	Nahla B. Abdel-Hamid (22693741) (author), Amr M.T. Ali-Eldin (22693744) (author), Labib M. Labib (22693747) (author)
منشور في:	2025
الموضوعات:	Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified numerical results validate low computing capability either executed locally demonstrating significant gains deep neural networks harvesting reinforcement learning efficient computing services brings resources closer binary offloading policy efficient task offloading time efficiency compared limited energy availability maximize computational performance limited energy resources proposed algorithm addresses energy harvesting constraints wireless power transfer ehrl )</ p computational resources limited energy energy harvesting energy constraints offloading decision efficient optimization computation performance algorithm incorporates computational paradigm electrical energy wireless nodes turn obviates transmitted wirelessly training stability trained using thus avoids raphson method proposed approach potential solution paper considers often constrained network edge nadam optimizer mobile devices minimize latency making real making process high number fully offloaded es ). edge server dual challenges
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Normalized computation rate for N = 10.

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