Publication: Application of Machine Learning Methods for Solving Problems of Body Part Identification to Compare the Desired Level of Pain
| dc.contributor.author | Klimonov, K. Y. | |
| dc.contributor.author | Sadikov, R. I. | |
| dc.date.accessioned | 2024-11-29T15:25:07Z | |
| dc.date.available | 2024-11-29T15:25:07Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | © 2021 IEEE.The purpose of this work is to write an application that detects a part of the body using a neural network and gives out the level of pain when tattooing this limb. According to statistics, in every country from 10 to 20 percent of people believe that a tattoo is painful, so they are afraid to do it. The app will help them choose the least painful place. We use an application that basically contains a convolutional neural network and the Tkinter and ImageAI library. | |
| dc.format.extent | С. 454-457 | |
| dc.identifier.citation | Klimonov, K. Y. Application of Machine Learning Methods for Solving Problems of Body Part Identification to Compare the Desired Level of Pain / Klimonov, K.Y., Sadikov, R.I. // Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021. - 2021. - P. 454-457. - 10.1109/ElConRus51938.2021.9396446 | |
| dc.identifier.doi | 10.1109/ElConRus51938.2021.9396446 | |
| dc.identifier.uri | https://www.doi.org/10.1109/ElConRus51938.2021.9396446 | |
| dc.identifier.uri | https://www.scopus.com/record/display.uri?eid=2-s2.0-85104765925&origin=resultslist | |
| dc.identifier.uri | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000669709800102 | |
| dc.identifier.uri | https://openrepository.mephi.ru/handle/123456789/23992 | |
| dc.relation.ispartof | Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021 | |
| dc.title | Application of Machine Learning Methods for Solving Problems of Body Part Identification to Compare the Desired Level of Pain | |
| dc.type | Conference Paper | |
| dspace.entity.type | Publication | |
| relation.isOrgUnitOfPublication | 010157d0-1f75-46b2-ab5b-712e3424b4f5 | |
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