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Issue DateTitleAuthor(s)
2021Methodological problems of the current state of works in the field of Artificial intelligenceGolenkov, V. V.; Guliakina, N. A.; Golovko, V. A.; Krasnoproshin, V. V.
2017Methods and Algorithms for Solution of Problem of Diagnostic Information GatheringKleschev, A. S.; Shalfeeva, E. A.
2024Methods and Means of Constructing Plans for Solving Problems in Intelligent Systems on the Example of an Intelligent System on GeometryMalinovskaya, N.; Makarenko, A.
2022Methods and tools for designing and analyzing the quality of knowledge bases of next-generation intelligent computer systemsButrin, S.
2018Model transformations for intelligent systems engineeringDorodnykh, N. O.; Yurin, A. Yu.; Pavlov, N. Yu.; Korshunov, S. A.; Sopp, D. Yu.
2019Model-Driven Development Approach for Case Bases EngineeringDorodnykh, N. O.; Yurin, A. Yu.
2024Natural Language Text Generation from Knowledge Bases of OSTIS-systemsGoylo, A.; Nikiforov, S.; Golovko, O.
2022Next-generation intelligent computer systems and technology of complex support of their life cycleGolenkov, V.; Gulyakina, N.
2021Ontological Approach for Generating Natural Language Texts from Knowledge BaseLongwei Qian; Wenzu Li
2020Ontological approach to automating the processes of question generation and knowledge control in intelligent learning systemsLi, W.; Grakova, N. V.; Qian, L.
2022Ontological Approach to the development of natural language interface for intelligent computer systemsLongwei Qian
2017Ontology-Based Knowledge Base DesignDavydenko, I. T.
2024OSTIS Ecosystem Security ProblemsKhoroshavin, V.; Zakharov, V.
2023Principles and solutions for integrating computer algebra tools and applications based on open semantic technologiesTaranchuk, V.; Shunkevich, D.
2021Principles of building a system for automating the activities of a process engineer based on an ontological approach within the framework of the Industry 4.0 conceptTaberko, V.; Ivaniuk, D.; Zotov, N.; Orlov, M.; Pupena, O.; Lutska, N.
2019Principles of decision-making systems building based on the integration of neural networks and semantic modelsGolovko, V. A.; Kroshchanka, A.; Ivashenko, V. P.; Kovalev, M.; Taberko, V.; Ivaniuk, D. S.
2019Principles of organization and automation of the semantic computer systems developmentGolenkov, V. V.; Shunkevich, D.; Davydenko, I. T.; Grakova, N. V.
2022Problems and prospects of automating various types and fields of human activity with the help of next-generation intelligent computer systemsGolenkov, V.; Taranchuk, V. B.; Kovalev, M.
2022Representation of formal ontologies of basic entity classes in intelligent computer systemsButrin, S.
2021Semantic analysis of the video stream based on neuro-symbolic artificial intelligenceKroshchanka, A. A.; Mikhno, E.; Kovalev, M. V.; Zahariev, V. A.; Zagorskij, A. G.