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Title
Authors
Computer vision technologies for detecting defects in cylindrical objects
Zakharova O.I.
Using machine learning algorithms to detect anomalous traffic behavior
Pozdnyak I.S., Makarov I.S.
An Adaptive Model for Detecting the Vulnerabilities of Unmanned Vehicles Interface in Smart City Infrastructure
Skatkov A.V., Bryukhovetskiy A.A., Moiseev D.V., Shevchenko V.I.
SIGNAL DETERMINATION PROCEDURE, ESTIMATION OF NOISE DISPERTION ANDBIT TIMING VIA MULTIPATH CHANNELS
Kotlova T.V., Khalilov R.R.
Search and Selection of License Plate Images in TV Systems with Video Analytics
Kulyas O.L., Loshkarev A.S.
ANOMALY DETECTION PROTOCOL WITH NEGATIVE SELECTION MODULE AND MACHINE LEARNING RULES
Ivkin A.N.
IMAGE SEGMENTATION USING CLUSTERIZATION
Loshkarev A.S.
Method for moving object detection based on adaptive filtration method and Bayes theorem application for changing estimation
Chervyakov N.I., Tupikin A.A.
ON THE QUESTION OF DETECTION MALWARE THAT USE CUDA TECHNOLOGY
Mostovoi J.A., Rakhmaev D.M.
BER PERFORMANCE OF OFDM-QAM OVER AWGN CHANNEL
Pushkina E.O.
IDENTIFICATION OF DOS ATTACKS BY ANALYSIS OF SOME STATISTICAL CHARACTERISTICS OF TRAFFIC
Pozdnyak I.S., Plavan A.I.
RESEARCH OF WRED QUEUE MANAGEMENT ALGORITHM IN DIFFERENTIATEDSERVICES MODEL
F o m i n V.V.
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