Материалов:
1 005 012

Репозиториев:
30

Авторов:
761 409

По вашему запросу найдено документов: 121696

Страница 5 из 12170

Mobile network traffic analysis based on probability-informed machine learning approach
Gorshenin A., Kozlovskaya A., Gorbunov S., Kochetkova I.
) is introduced. First, the preliminary clustering based on the finite normal mixtures is performed
Automatic Gully Detection: Neural Networks and Computer Vision
Gafurov A.M., Yermolayev O.P.
results showed a promising performance of the model with the overall R2 and RMSE of 0.77 and 721 kg
Study of the efficiency of gel and polymer-stabilized foam systems for gas shut-off in horizontal wells
Zvada M.V., Belovus P.N., Sergeev E.I., Glavnov N.G., Varfolomeev M.A., Saifullin E.R.
of special laboratory studies and analysis of the results using numerical modeling methods. A list
To queueing system model performance measures analysis under network slicing
Adou K.Y., Markova E.V.
To queueing system model performance measures analysis under network slicing
Kadyshevsky equation numerical analysis with periodic boundary conditions on adaptive grids
Bouatta M.A., Kolosova I.S., Korshok E.O., Vasilyeva Darya
Kadyshevsky equation numerical analysis with periodic boundary conditions on adaptive grids
Formulation of the problem of mathematical modeling of accommodation of basic stations of cellular communication in residential territories for students of it-directions of preparation
Bogdanova A., Korostelev A., Mukhutdinov R., Shakirova I., Maseleno A.
© BEIESP. The relevance of considering the issues of mathematical modeling in the preparation
Approach to estimation of performance measures for SIP server model with batch arrivals
Orlov Y., Gaidamaka Y., Zaripova E.
In this paper an approach to analysis of dependence of Session Initiation Protocol server model
Peak Age of Information Analysis in Systems with Multiple Time-Correlated Traffic Streams
Manaeva V., Zhbankova E., Markova E., Samouylov K.
that introducing a priority in service to one of the flows may drastically affect the performance of other flows
Modelling the Innovative Performance of Resource Areas: Analysis of 22 Russian Regions
Поподько, Галина Ивановна, Зимнякова, Татьяна Сергеевна, Улина, Светлана Леонидовна, Сумина, Екатерина Владимировна, Бухаров, Анатолий Викторович
performance. We tested our model on the empirical data from Russian resource-rich regions to reveal key
Customer Behaviour Agent-Modelling Based Upon Wireless Traffic Analysis
Timokhin V.N., Rostetskaya A.R., Medvedeva M.A.
Present article is devoted to development of agent model for customer behaviour prediction based

Страница 5 из 12170

Фасеты

Новости проекта

Новости

Партнеры

КФУ
ТГУ
Elpub
СФУ
Webpublishers

Индексация

BASE
WorldCat
OpenAIRE
EDS
core