Advanced frameworks human-type communication over wireless sensor network

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dc.contributor.authorMohammed, Sura Qutaiba
dc.contributor.authorIlyas, Muhammad
dc.date.accessioned2023-06-10T09:20:26Z
dc.date.available2023-06-10T09:20:26Z
dc.date.issued2022en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractThis study intends to construct sophisticated Wireless Sensor Network topologies for real-time group collaboration. WSNs use dispersed sensors to safeguard data privacy and convey data for analysis. Medical services, postal delivery, energy companies, and industries use WSNs to monitor machines and discover faults. Weakly Connected Networks (WSNs) collect optimal application estimates and transfer them to a door so clients can understand and execute them. WSNs are crucial to human communication because they can be programmed to spot pauses and persistent attacks in ViWi: A framework for deep learning data sets for vision-assisted wireless communications. WSN direction standards describe paths between starting and ending nodes. How can these guiding principles divide the organization into more manageable segments and stimulate contact between them and their neighbors before sending information further afield? The testing industry continues to develop new libraries, methodologies, test findings, and customization possibilities. Python reduces grammatical complexity, increases efficiency compared to prearranging languages, and ensures memory safety. This cutting-edge research recognizes that memory health is an issue for modern human communication systems and has begun porting portions of their convention disentangling logic to achieve a 98.74% accuracy rate for distinguishing all interruptions within the WSN that use a parser age structure to achieve safe convention parsing.en_US
dc.identifier.citationMohammed, S. Q., & Ilyas, M. (2022). Advanced frameworks human-type communication over wireless sensor network. In 2022 International Conference on Artificial Intelligence of Things (ICAIoT). IEEE.en_US
dc.identifier.isbn9798350396768
dc.identifier.scopus2-s2.0-85160527108
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12939/3526
dc.indekslendigikaynakScopus
dc.institutionauthorMohammed, Sura Qutaiba
dc.institutionauthorIlyas, Muhammad
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings - 2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022
dc.relation.isversionof10.1109/ICAIoT57170.2022.10121889en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCloud Computingen_US
dc.subjectClusteren_US
dc.subjectNodesen_US
dc.subjectSensoren_US
dc.subjectWirelessen_US
dc.titleAdvanced frameworks human-type communication over wireless sensor network
dc.typeConference Object

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