Survey of general communication based on using deep learning autoencoder

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dc.contributor.authorMohammed, Mohaimen
dc.contributor.authorÇevik, Mesut
dc.contributor.authorAlyassri, Salam
dc.date.accessioned2022-12-22T10:16:05Z
dc.date.available2022-12-22T10:16:05Z
dc.date.issued2022en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractThe growth of artificial intelligence opened several horizons and fields that made researchers more curious about the progress in this field, especially the growth of deep learning and its entry into the world of communications such as autoencoder, and this is likely due to its ability to bypass the impact of the noise that the signal suffered by denoising feature. In this field, there are many research papers, most of which are mentioned in this review, to produce a research paper that can be considered as a reference for researchers who wish to know the most prominent research findings included in this topic. The results were categorized based on (Challenges trying solved, type of system, channel types, system parameters, and findings) and it was found that there was a difference in the variables used in the mentioned research.en_US
dc.identifier.citationMohammed, M., Çevik, M., Alyassri, S. (2022). Survey of General Communication Based on Using Deep Learning Autoencoder. In 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 741-746). IEEE.en_US
dc.identifier.endpage746en_US
dc.identifier.isbn9781665470131
dc.identifier.scopus2-s2.0-85142853422
dc.identifier.scopusqualityN/A
dc.identifier.startpage741en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/3132
dc.indekslendigikaynakScopus
dc.institutionauthorMohammed, Mohaimen
dc.institutionauthorÇevik, Mesut
dc.institutionauthorAlyassri, Salam
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofISMSIT 2022 - 6th International Symposium on Multidisciplinary Studies and Innovative Technologies, Proceedings
dc.relation.isversionof10.1109/ISMSIT56059.2022.9932717en_US
dc.relation.publicationcategoryKonferans Öğesi - Ulusal - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAutoencoderen_US
dc.subjectBERen_US
dc.subjectChannel Estimationen_US
dc.subjectNeural Networken_US
dc.subjectOFDMen_US
dc.titleSurvey of general communication based on using deep learning autoencoder
dc.typeConference Object

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