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Особенности моделирования электрической нагрузки в расчетах режимов работы электрической сети частной жилой застройки
Рудченко, Ю. А., Зализный, Д. И., Сучков, Д. В., Кусенкова, В. А.
calculations of operating modes of electrical networks with a voltage of 0.4 kV are considered. It is proposed
Neural network model for detecting network scanning attacks
Panischev O.Y., Makridin A.T., Katasev A.S., Akhmetvaleev A.M., Kataseva D.V.
methods and approaches to scanning network ports are considered. Intrusion detection systems (IDS
Обнаружение DGA доменов и предотвращение botnet средствами Q-обучения для POMDP
Бубнов, Я. В., Иванов, Н. Н., Bubnov, Y. V., Ivanov, N. N.
в процессе взаимодействия с окружением. An effective method for preventing the operation of computer
Analysis of the Using of D2D Communications for the Ad Hoc Network Based on Subscriber Terminals
Paramonov A., Tatarnikova T., Marochkina A.
, the probability of connectivity depends on time. Such a network can operate as a network with acceptable delays
Small object detection method
Tang, Yi, Gourinovitch, A.
development of deep convolutional neural networks (CNN)/ When it comes to small objects? the accuracy of deep
Application of fuzzy synchronization in the NLOS UV communication system
Vasilyev, G. S., Kuzichkin, O. R., Surzhik, D. I., Konstantinov, I. S., Lazarev, S. A.
To ensure the effective operation of UV-C communication systems in the non-line-of-sight (NLOS
Face tracking with automatic age and gender detection
Nurlyyeva, М. Н., Sharipova, J. Sh., Akiyev, N. B.
. It describes the main algorithms and methods used in this field, including machine learning and computer vision
Analytical model for Software Defined Network delay estimation
Abaev P., Beschastnyi V., Tsarev A., Fedorov S.
Traditional IP networks are becoming more complex to satisfy the demands of modern applications
Neural network method of dynamic biometrics for detecting the substitution of computer
research the dynamic neural network method for biometric identification of computer users. We analyze
Emergence of the small-world architecture in neural networks by activity dependent growth
Gafarov F.
of the network's connections structure, we used the random graphs theory methods. It is shown that the growth

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