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Holistic Discourse in the Network Cognitive Modeling
Райков А. Н.
Holistic Discourse in the Network Cognitive Modeling
Когнитивные сети и онтологический анализ в повышении адаптивности и качества обслуживания в гетерогенной беспроводной среде
Гладун, А. Я., Рогушина, Ю. В., Gladun, A. Y., Rogushina, J. V.
этой базы знаний. Cognitive networks and the ontological analysis in adaptibility and service
SmartCrop cognitive platform: modules for automatic knowledge extraction from scientific publications, patents and factual databases for reconstruction and analysis of gene networks of stress response in rice and wheat
Ivanisenko V.A., Demenkov P.S., Ivanisenko T.V., Antropova E.A., Volyanskaya A.R., Zubairova U.S., Makarova A.A., Orlov Y.L., Chen M.
SmartCrop cognitive platform: modules for automatic knowledge extraction from scientific
Spectrum Hole Prediction in Cognitive Radio Systems by LSTM Neural Networks
Bohush, R., Naumovich, N., Adamovskiy, Y., Chertkov, V.
environment maps (REM) data LTE-based cognitive communication system. REM is a spatiotemporal database of all
Cognitive-stylistic peculiarities of students with different strategies of network communication
Sungurova N.L., Mikhailova D.A.
for network communications is associated with certain cognitive-stylistic peculiarities of the personality
THE RELATIONSHIP OF COGNITIVE STYLE CHARACTERISTICS AND EMOTIONAL STABILITY OF STUDENTS IN THE CONTEXT OF NETWORKING
Sungurova N.L., Mikhailova D.A.
The Article is devoted to the analysis of thinking styles, learning styles, network of behavioral
Schematic knowledge deviation: delving into the depths of reader’s cognitive pathways
Al-Sahlani, A. A., Mubarak, A. S.
This paper is an attempt to show how readers' underlying network of prototypical schematic
Neural Network Models and Cognitive Computing from Social Media Data: Perception of Situation
Gabdrakhmanova N., Pilgun M.
The paper presents the development of various types of models using cognitive computing based
Spectrum Hole Prediction in LTE-Based Cognitive Radio System Using Kolmogorov-Arnold Network
Bohush, R., Adamovskiy, Y., Naumovish, N.
Maps (REM) based on Long Term Evolution (LTE) for a cognitive communication system. REM is a
ESTIMATION OF USER EQUIPMENT HANDOVER TIME FROM LTE NETWORK TO COGNITIVE RADIO NETWORK
Grebeshkov A.Y., Zaripova E.R., Zuev A.V.
term evolution (LTE) or fourth generation (4G) network to a cognitive wireless network (CWN

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