Please use this identifier to cite or link to this item:
http://148.72.244.84/xmlui/handle/xmlui/2963| Title: | Analysis of the most Important Concepts Related to Social Distancing as A Result of COVID-19 Pandemic: A Review |
| Authors: | Hiyam Hashem Saeed Abdulbasit Alazzawia |
| Keywords: | Coronavirus2019,SocialDistancing,Method,COCO dataset. |
| Issue Date: | 2023 |
| Publisher: | univercit of diyala |
| Citation: | https://doi.org/10.24237/ASJ.01.02.620B |
| Abstract: | SocialdistancehasbeencrucialinpreventingtherapidspreadoftheCOVID-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. |
| URI: | http://148.72.244.84:8080/xmlui/handle/xmlui/2963 |
| ISSN: | 2958-4612 2958-4612 |
| Appears in Collections: | مجلة ديالى للعلوم الاكاديمية / Academic Science Journal (Acad. Sci. J.) |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.