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On statistical analysis of mobile operator traffic profile
Silkina M.A., Kushchazli A.I., Kochetkova I.A., Gorshenin A.K.
for studying network traffic are in use today, including methods based on data mining and machine learning
Dual Decomposition Methods for Nonlinear Resource Allocation Problems in Telecommunication Networks
networks with many users. In the simplest formulation the network manager aims to distribute some
Mobile virtual network operator as part of it ecosystem
Izhik, S. E.
Mobile virtual network operator as part of it ecosystem
Neural-network simulation of diesel operation under a nonsteady load
Zubkov E., Khairullin A.
© 2016, Allerton Press, Inc.The operation of diesel engines with nonsteady loads is considered
Application of machine learning algorithms in morphopathology and in assisted reproductive technologies
Vishnyakova P.A., Kaprulevich E.A., Kirillova A.O., Ananiev V.V., Naumov A.Yu., Fatkhudinov T.Kh.
of artificial intelligence models is a serious challenge. Machine learning methods are becoming more and more
An Algorithm of Dynamic Heterogeneous Networks Link Prediction
Hao, W., Xiang-ming, N.
to verify the effectiveness of this method, this paper selects two real dynamic heterogeneous network data
Computer modeling of the automated tests of diesel engines various conditions of their operation
Zubkov E.
of different operating conditions of the diesel engine. Increase in number of the considered external factors
Methods and Approaches for Predicting Speech Impairment After Brain Tumor Surgery
Alushaj I., Molodchenkov A.I., Bykanov A.E.
tumor removal operations based on machine learning models. The results of electroencephalography, which
Modeling unreliable LSA operation in 3GPP LTE cellular networks
Borodakiy V.Y., Samouylov K.E., Gudkova I.A., Ostrikova D.Y., Ponomarenko-Timofeev A.A., Turlikov A.M., Andreev S.D.
allocation across the network users. Owing to that, the operator can employ the LSA band whenever desired
Exponential Discretization of Weights of Neural Network Connections in Pre-Trained Neural Network. Part II: Correlation Maximization
Pushkareva M.M., Karandashev I.M.
Abstract—: In this article, we develop method of linear and exponential quantization of neural

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