Please use this identifier to cite or link to this item: http://148.72.244.84/xmlui/handle/xmlui/2963
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dc.contributor.authorHiyam Hashem Saeed-
dc.contributor.authorAbdulbasit Alazzawia-
dc.date.accessioned2023-10-11T09:00:17Z-
dc.date.available2023-10-11T09:00:17Z-
dc.date.issued2023-
dc.identifier.citationhttps://doi.org/10.24237/ASJ.01.02.620Ben_US
dc.identifier.issn2958-4612-
dc.identifier.issn2958-4612-
dc.identifier.urihttp://148.72.244.84:8080/xmlui/handle/xmlui/2963-
dc.description.abstractSocialdistancehasbeencrucialinpreventingtherapidspreadoftheCOVID-19pandemicsincetheoutbreakbegan.Publicspacesneedtobesafeplaceswherean individual'ssocialdistancingisrespected. Most methodsofmeasuring socialdistancingconsistofthefollowingsteps:thesystem(i)monitorsandanalyzestheactualdistancesbetweenpeopleinreal-time;(ii)looksforviolationsofsocialdistancingamongthecrowds;and(iii)collectsinformationonandalertsthosewhoviolatetherules.Thispaperprovidesthefirstreviewofthesubstantialfocusofconvolutionalneuralnetworks(CNN)-basedtechniques. It has beenconductedtoidentifytheiradvantagesanddisadvantages.Thisarticleexaminesthemostfundamentalideasaboutsocialdistancing.Themethodsandknowledgeofthebasicalgorithmsusedbypreviousresearchersandstudies,aswellasthedatasetthatcanbeusedtoevaluatealgorithmsthatcantellwhenadistanceissafe.Keywords:Coronavirus2019,SocialDistancing,Method,COCO dataset.en_US
dc.description.sponsorshiphttps://acadscij.uodiyala.edu.iq/en_US
dc.language.isoenen_US
dc.publisherunivercit of diyalaen_US
dc.subjectCoronavirus2019,SocialDistancing,Method,COCO dataset.en_US
dc.titleAnalysis of the most Important Concepts Related to Social Distancing as A Result of COVID-19 Pandemic: A Reviewen_US
dc.typeArticleen_US
Appears in Collections:مجلة ديالى للعلوم الاكاديمية / Academic Science Journal (Acad. Sci. J.)

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