G-Networks: Development of the Theory of Multiplicative NetworksThis is a review on G-
networks, which are the generalization of the Jackson and BCMP
networks Neural Network Models of Time Series of Network Traffic IntensitiesThe paper presents the results of building neural
network predictive models of the occupancy
Training neural network for pattern recognitionThe article presents the problems connected with the subjects of neural
networks: biological
Network approach in economics and management: The interdisciplinary natureThis article focuses on the interdisciplinary nature of the emerging
network paradigm in economic
NETWORK SLICING: A SUBJECT FIELD OVERVIEWThe existing literature explores the numerous benefits of
network slicing for modern cellular
Network Approach in Political Communication StudiesThe article is devoted to issues of
network approach application in political communication studies
Lightweight Deep Neural Networks for Dense Crowd Counting EstimationIn this paper, productiveness problems of deep neural
networks for dense crowd counting prediction
ON PERFORMANCE ANALYSIS OF SDN NETWORK WITH CONTROLLER- BASED FIREWALLSoftware-Defined
Networking is a new
network paradigm that allows managing
network services