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Modeling and investigation of the movement of the user of augmented reality service
Makolkina M., Paramonov A.
to the need to develop new AR user traffic models taking into account the features of its movement. The paper
A comparison of text representation methods for predicting political views of social media users
Glazkova A.
for distinguishing users belonging to different radical political movements, such as communists vs. libertarians
The models of moving users and IoT devices density investigation for augmented reality applications
Makolkina M., Koucheryavy A., Paramonov A.
and understand the significance of the received content. The article develops a user perception model, which
Исследование модели динамики параметров информационного почерка пользователя
Диденко, С. М., Didenko, S. M.
and authentication by mouse movements.
Modeling movement of devices in a wireless network by random walk models [Применение моделей случайного блуждания при моделировании перемещения устройств в беспроводной сети]
Samouylov K.E., Gaidamaka Yu.V., Shorgin S.Ya.
The authors overview mobility models which are applicable for simulation of movement of users
Simulation-Based Analysis of Mobility Models for Wireless UAV-to-X Networks
Prosvirov V., Khalina V., Lisovskaya E., Gaidamaka Y., Pokorny J., Hosek J., Samouylov K.
model more human-alike according to the real scenarios. The paper considers two models of UAVs movement
A comparison of text representation methods for predicting political views of social media users
Glazkova Anna
for distinguishing users belonging to different radical political movements, such as communists vs. libertarians
Mechanical Model of an Anthropoid on a Plane
Blinov A., Borisov A., Kaspirovich I., Mukharlyamov R., Borisova V.
, this model can be used for modeling the dynamics of biomechanical parameters of human movement and mechanical
Sir distribution in D2D environment with non-stationary mobility of users
Fedorov S., Orlov Y., Samuylov A., Moltchanov D., Gaidamaka Y., Samouylov K., Shorgin S.
is primarily determined by the signal-to-interference ratio (SIR). However, depending on the users movement
Performancemeasures analysis of data transfer process tomobile users in LTE cell
Naumov V.A., Mokrov E.V., Samouylov K.E.
wireless networks, considering user movements within a cell under the condition that the cell can

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