ARTIFICIAL INTELLIGENCE IN THE PROBLEMS OF ORGANIZATIONAL CONTROL AND PLANNING OF ELECTRIC POWER CONSUMPTION IN OIL PIPELINE TRANSPORTATION Article Gabdrakhmanova N. Lecture Notes in Mechanical Engineering. Springer Science and Business Media Deutschland GmbH. 2022. P. 740-750
COGNITIVE SYSTEMS, ARTIFICIAL NEURAL NETWORKS AND DIFFERENTIAL EQUATIONS: SOCIAL MEDIA DATA Article Gabdrakhmanova N., Pilgun M. Procedia Computer Science. Elsevier B.V.. Vol. 186. 2021. P. 677-684
NEURAL NETWORK TECHNOLOGIES AND TOPOLOGICAL ANALYSIS OF SOCIAL MEDIA DATA Article Gabdrakhmanova N., Pilgun M. Advances in Systems Science and Applications. International Institute for General Systems Studies. Vol. 21. 2021. P. 101-112
THE MODELING OF FORECASTING NEW SITUATIONS IN THE DYNAMICS OF THE ECONOMIC SYSTEM ON THE EXAMPLE OF SEVERAL FINANCIAL INDICATORS Article Gabdrakhmanova N., Fedin V., Matsuta B., Pilgun M. Procedia Computer Science. Elsevier B.V.. Vol. 186. 2021. P. 512-520
INTELLIGENT CONTROL SYSTEMS IN URBAN PLANNING CONFLICTS: SOCIAL MEDIA USERS’ PERCEPTION Article Gabdrakhmanova N., Pilgun M. Applied Sciences (Switzerland). MDPI AG. Vol. 11. 2021.
DIGITAL SPACES OF NETWORK AGGRESSION: MUSCOVITES ‘ PERCEPTION OF MIGRANTS Article Pilgun M., Gabdrakhmanova N. Russian Journal of Communication. Bellwether Publishing, Ltd.. Vol. 12. 2020. P. 237-261
DEVELOPMENT OF UNIFIED APPROACHES TO BUILDING NEURAL NETWORK AND MATHEMATICAL MODELS BASED ON DIGITAL DATA Article Gabdrakhmanova N., Pilgun M. Advances in Systems Science and Applications. International Institute for General Systems Studies. Vol. 20. 2020. P. 113-124
CONSTRUCTION A NEURAL-NET MODEL OF NETWORK TRAFFIC USING THE TOPOLOGIC ANALYSIS OF ITS TIME SERIES COMPLEXITY Article Gabdrakhmanova N. Procedia Computer Science. Elsevier B.V.. Vol. 150. 2019. P. 616-621
CONSTRUCTING A NEURAL-NET MODEL OF NETWORK TRAFFIC USING THE TOPOLOGIC ANALYSIS OF ITS TIME SERIES COMPLEXITY Article Gabdrakhmanova N. Studies in Computational Intelligence. Springer Verlag. Vol. 736. 2018. P. 91-97
CONSTRUCTING A NEU-RAL-NET MODEL OF NETWORK TRAFFIC USING THE TOPOLOGIC ANALYSIS OF ITS TIME SERIES COMPLEXITY Article Gabdrakhmanova N. Материалы XIX International Conference on Neuroinformatics "Advances in Neural Computation, Machine Learning, and Cognitive Research". Серия "Studies in Computational Intelligence". Springer-Verlag GmbH. 2017. P. 91-97
NEURAL NETWORK MODELS OF TIME SERIES OF NETWORK TRAFFIC INTENSITIES Article Gabdrakhmanova N., Gabdrakhmanov A. Procedia Computer Science. Elsevier B.V.. Vol. 103. 2017. P. 483-488