LAN based GIS optimization for coverage in wireless networks

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dc.contributor.authorAtiyah, Israa Salman
dc.contributor.authorCansever, Galip
dc.contributor.authorAhmed, Ali Saadoon
dc.date.accessioned2023-08-21T06:50:32Z
dc.date.available2023-08-21T06:50:32Z
dc.date.issued2023en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractMachine learning is a branch of artificial intelligence based on the idea that systems can learn to identify patterns and make decisions with a minimum of human intervention. In this Paper, demonstration learning will be used, using neural networks in a prototype of a drone built to perform trajectories in controlled environments. To accelerate the training convergence process, a new training data selection approach has been introduced, which picks data from the experience pool based on priority instead of randomness. An autonomous maneuver strategy for dual-UAV olive formation air warfare is provided, which makes use of UAV capabilities such as obstacle avoidance, formation, and confrontation to maximize the effectiveness of the attack.en_US
dc.identifier.citationAtiyah, I. S., Cansever, G., & Ahmed, A. S. (2023). LAN based GIS optimization for coverage in wireless networks. In 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) (pp. 1-5). IEEE.en_US
dc.identifier.isbn9798350337525
dc.identifier.scopus2-s2.0-85165720992
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.12939/3689
dc.indekslendigikaynakScopus
dc.institutionauthorAtiyah, Israa Salman
dc.institutionauthorCansever, Galip
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofHORA 2023 - 2023 5th International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings
dc.relation.isversionof10.1109/HORA58378.2023.10156690en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectANNen_US
dc.subjectDLen_US
dc.subjectMLen_US
dc.subjectUAVen_US
dc.titleLAN based GIS optimization for coverage in wireless networks
dc.typeConference Object

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