Vestnik Tomskogo Gosudarstvennogo Universiteta-Upravlenie Vychislitelnaja Tehnika i Informatika-Tomsk State University Journal of Control and Computer Science最新文献
{"title":"Asymptotical analysis of queueing system MMPP|M|N with feedback","authors":"A. Nazarov, E. Pavlova","doi":"10.17223/19988605/58/5","DOIUrl":"https://doi.org/10.17223/19988605/58/5","url":null,"abstract":"","PeriodicalId":42063,"journal":{"name":"Vestnik Tomskogo Gosudarstvennogo Universiteta-Upravlenie Vychislitelnaja Tehnika i Informatika-Tomsk State University Journal of Control and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.1,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77248451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automated detection of COVID-19 coronavirus infection based on analysis of chest X-ray images by deep learning methods","authors":"Evgenii Yu. Shchetinin, L. A. Sevastyanov","doi":"10.17223/19988605/58/9","DOIUrl":"https://doi.org/10.17223/19988605/58/9","url":null,"abstract":"Early detection of COVID-19 infected patients is essential to ensure adequate treatment and reduce the load on the healthcare systems. One of effective methods for detecting COVID-19 is deep learning models of chest X-ray images. They can detect the changes caused by COVID-19 even in asymptomatic patients, so they have great potential as auxiliary systems for diagnostics or screening tools. This paper proposed a methodology consisting of the stage of pre-processing of X-ray images, augmentation and classification using deep convolutional neural networksXception, InceptionResNetV2, MobileNetV2, DenseNet121, ResNet50 and VGG16, previously trained on thelmageNet dataset. Next, they fine-tuned and trained on prepared data set of chest X-rays images. The results of computer experiments showed that theVGG16 model with fine tuning of the parameters demonstrated the best performance in the classification of COVID-19 with accuracy 99,09%, recall=98,318%, precision=99,08% and f1_score=98,78. This signifies the performance of proposed fine-tuned deep learning models for COVID-19 detection on chest X-ray images.","PeriodicalId":42063,"journal":{"name":"Vestnik Tomskogo Gosudarstvennogo Universiteta-Upravlenie Vychislitelnaja Tehnika i Informatika-Tomsk State University Journal of Control and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.1,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89312347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Queuing systems with heterogeneous servers and state-dependent jump priorities informatics and programming","authors":"A. Melikov, E. V. Mekhbaliyeva","doi":"10.17223/19988605/58/8","DOIUrl":"https://doi.org/10.17223/19988605/58/8","url":null,"abstract":"","PeriodicalId":42063,"journal":{"name":"Vestnik Tomskogo Gosudarstvennogo Universiteta-Upravlenie Vychislitelnaja Tehnika i Informatika-Tomsk State University Journal of Control and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.1,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84202578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The probabilistic model of sharing system with collisions, H-persistence and rejections data processing","authors":"Anna V. Polkhovskaya, et al.","doi":"10.17223/19988605/58/4","DOIUrl":"https://doi.org/10.17223/19988605/58/4","url":null,"abstract":"","PeriodicalId":42063,"journal":{"name":"Vestnik Tomskogo Gosudarstvennogo Universiteta-Upravlenie Vychislitelnaja Tehnika i Informatika-Tomsk State University Journal of Control and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.1,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78819520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementation of the deviation control principle in models of mechanical engineering production based on Petri nets","authors":"Aleksey N. Sochnev","doi":"10.17223/19988605/57/2","DOIUrl":"https://doi.org/10.17223/19988605/57/2","url":null,"abstract":"","PeriodicalId":42063,"journal":{"name":"Vestnik Tomskogo Gosudarstvennogo Universiteta-Upravlenie Vychislitelnaja Tehnika i Informatika-Tomsk State University Journal of Control and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.1,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80716532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Persova, Y. Soloveichik, I. I. Patrushev, Anastasia S. Ovchinnikova
{"title":"Application of the finite element grouping procedure to improve the efficiency of unsteady multiphase flow simulation in high-heterogeneous 3D porous media","authors":"M. Persova, Y. Soloveichik, I. I. Patrushev, Anastasia S. Ovchinnikova","doi":"10.17223/19988605/57/4","DOIUrl":"https://doi.org/10.17223/19988605/57/4","url":null,"abstract":"","PeriodicalId":42063,"journal":{"name":"Vestnik Tomskogo Gosudarstvennogo Universiteta-Upravlenie Vychislitelnaja Tehnika i Informatika-Tomsk State University Journal of Control and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.1,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76425241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Memory Yury I. Paraev","authors":"","doi":"10.17223/19988605/57/14","DOIUrl":"https://doi.org/10.17223/19988605/57/14","url":null,"abstract":"","PeriodicalId":42063,"journal":{"name":"Vestnik Tomskogo Gosudarstvennogo Universiteta-Upravlenie Vychislitelnaja Tehnika i Informatika-Tomsk State University Journal of Control and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.1,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79585374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Nazarov, S. Paul, Olga Lizyura, Ksenia Shulgina
{"title":"Asymptotic-diffusion analysis of retrial queue with two-way communication and unreliable server","authors":"A. Nazarov, S. Paul, Olga Lizyura, Ksenia Shulgina","doi":"10.17223/19988605/57/8","DOIUrl":"https://doi.org/10.17223/19988605/57/8","url":null,"abstract":"","PeriodicalId":42063,"journal":{"name":"Vestnik Tomskogo Gosudarstvennogo Universiteta-Upravlenie Vychislitelnaja Tehnika i Informatika-Tomsk State University Journal of Control and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.1,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73542105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
P. Pristupa, P. Mikheev, Vasiliy V. Poddubnyy, S. Suschenko
{"title":"The effectiveness of forward error correction in transport protocol at the intrasegment level","authors":"P. Pristupa, P. Mikheev, Vasiliy V. Poddubnyy, S. Suschenko","doi":"10.17223/19988605/57/9","DOIUrl":"https://doi.org/10.17223/19988605/57/9","url":null,"abstract":"","PeriodicalId":42063,"journal":{"name":"Vestnik Tomskogo Gosudarstvennogo Universiteta-Upravlenie Vychislitelnaja Tehnika i Informatika-Tomsk State University Journal of Control and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.1,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82981112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automatic generation of short texts based on the use of neural networks LSTM and SeqGAN","authors":"Nikolay Krivosheev, Yulia Ivanova, V. Spitsyn","doi":"10.17223/19988605/57/13","DOIUrl":"https://doi.org/10.17223/19988605/57/13","url":null,"abstract":"","PeriodicalId":42063,"journal":{"name":"Vestnik Tomskogo Gosudarstvennogo Universiteta-Upravlenie Vychislitelnaja Tehnika i Informatika-Tomsk State University Journal of Control and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.1,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82688060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}