Publication:
Predictive analytics of the state of computer devices in the inventory system

dc.contributor.authorNemeshaev, S.
dc.contributor.authorFatkullina, A.
dc.contributor.authorНемешаев, Сергей Александрович
dc.contributor.authorФаткуллина, Алина Альфировна
dc.date.accessioned2024-11-29T19:15:42Z
dc.date.available2024-11-29T19:15:42Z
dc.date.issued2021
dc.description.abstract© 2020 Elsevier B.V.. All rights reserved.This article discusses processes for collecting, recording, and analyzing data about equipment and its condition. A general description of the inventory system is given and the possibilities of using a mobile application to improve the data collection process are discussed. The article describes the possibilities of using qr codes to mark equipment and simplify the process of obtaining information during the inventory process. Specific system design changes are described to be able to predict the condition of equipment and prevent breakdowns and data loss. At the end of the article possible ways of development and further application of predictive analytics technology are described.
dc.format.extentС. 647-650
dc.identifier.citationNemeshaev, S. Predictive analytics of the state of computer devices in the inventory system / Nemeshaev, S., Fatkullina, A. // Procedia Computer Science. - 2021. - 190. - P. 647-650. - 10.1016/j.procs.2021.06.103
dc.identifier.doi10.1016/j.procs.2021.06.103
dc.identifier.urihttps://www.doi.org/10.1016/j.procs.2021.06.103
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85112591401&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/24565
dc.relation.ispartofProcedia Computer Science
dc.titlePredictive analytics of the state of computer devices in the inventory system
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume190
relation.isAuthorOfPublication94e99f2b-2db7-4a07-8b50-3826c0df8619
relation.isAuthorOfPublication4a8eda3b-0587-47bc-a359-ac6ca697f9b0
relation.isAuthorOfPublication.latestForDiscovery94e99f2b-2db7-4a07-8b50-3826c0df8619
relation.isOrgUnitOfPublication010157d0-1f75-46b2-ab5b-712e3424b4f5
relation.isOrgUnitOfPublication.latestForDiscovery010157d0-1f75-46b2-ab5b-712e3424b4f5
Файлы
Original bundle
Теперь показываю 1 - 1 из 1
Загружается...
Уменьшенное изображение
Name:
W3186056119.pdf
Size:
552.47 KB
Format:
Adobe Portable Document Format
Description:
Коллекции