Architectural Design and Performance Trade-offs of Deep Learning-Based Autoencoders for Wireless Communication Systems.

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Title: Architectural Design and Performance Trade-offs of Deep Learning-Based Autoencoders for Wireless Communication Systems.
Authors: Abo-Zahhad, Mohammed1,2 mohammed.zahhad@ejust.edu.eg, Ismail, Eman2 emanismail@eng.aun.edu.eg, Ali, Abdelhay2 abdelhay@eng.aun.edu.eg, Elnahas, Osama O.2,3 osama.hussien@eng.aun.edu.eg
Source: Journal of Engineering Sciences. Jul/Aug2026, Vol. 54 Issue 4, p187-206. 20p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Engineering+Sciences%22">Journal of Engineering Sciences</searchLink>. Jul/Aug2026, Vol. 54 Issue 4, p187-206. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194815338
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        Value: 10.21608/JESAUN.2022.124111.1104
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      – Code: eng
        Text: English
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      – TitleFull: Architectural Design and Performance Trade-offs of Deep Learning-Based Autoencoders for Wireless Communication Systems.
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            NameFull: Ismail, Eman
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              Text: Jul/Aug2026
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              Y: 2026
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