Персона: Климов, Валентин Вячеславович
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Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
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- ПубликацияТолько метаданныеApplication of Information Measuring Systems for Development of Engineering Skills for Cyber-Physical Education(2021) Baryshev, G.; Klimov, V.; Berestov, A.; Tokarev, A.; Petrenko, V.; Барышев, Геннадий Константинович; Климов, Валентин Вячеславович; Берестов, Александр Васильевич; Токарев, Антон Николаевич; Петренко, Валерия Валерьевна© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.The new industrial revolution opening the way to the digital world requires further development of engineering education. Future engineers should obtain skills in the area of development of cyber physical (intellectual) systems. In National Research Nuclear University MEPhI we have examples of implementation of new engineering courses and programs for cyber physical education. In this paper we discuss the problems and results of application of information measuring systems which main purpose is for research and development needs, for educational tasks.
- ПубликацияТолько метаданныеIntelligent Processing of Natural Language Search Queries Using Semantic Mapping for User Intention Extracting(2019) Chernyshov, A.; Balandina, A.; Klimov, V.; Климов, Валентин Вячеславович© 2019, Springer Nature Switzerland AG. Nowadays the leading world scientists and engineers center their attention to data mining and machine learning algorithms optimization and acceleration rather than inventing new ones. The natural language processing methods and tools are widely in use in production in the area of machine translation. The researches in the area of search engines and semantic search are mostly concentrated on data storage and further analysis. The majority of search engines use the huge amounts of previously accumulated user requests for predicting the search output without taking in attention this user intention by qualitative processing the request. In this paper we explore the idea of usage the semantic cognitive spaces for extracting the exact user intentions by analysis the natural language input requests. The final goal of our research is to develop a valid search query model for further usage in semantic search engines.
- ПубликацияТолько метаданныеPreface(2022) Kryzhanovsky, B.; Dunin-Barkowski, W.; Redko, V.; Klimov, V.; Климов, Валентин Вячеславович
- ПубликацияТолько метаданныеPreface(2022) Kelley, D. J.; Klimov, V.; Климов, Валентин Вячеславович
- ПубликацияТолько метаданныеPreface(2023) Kryzhanovsky, B.; Dunin-Barkowski, W.; Redko, V.; Tiumentsev, Y.; Klimov, V.; Климов, Валентин Вячеславович
- ПубликацияТолько метаданныеSemantic Social Web Applications: Wiki Web(2024) Belozerov, A.; Klimov, V.; Климов, Валентин Вячеславович
- ПубликацияТолько метаданныеNatural and Artificial Intelligence: An Activity-Based Approach(2024) Maksimov, N.; Klimov, V.; Максимов, Николай Вениаминович; Климов, Валентин Вячеславович
- ПубликацияТолько метаданныеTransforming the Field of Mobility Through Intellectualized V2X Interaction(2024) Dushkin, R.; Klimov, V.; Tkachenko, A.; Душкин, Роман Викторович; Климов, Валентин Вячеславович
- ПубликацияОткрытый доступApplication of Long-Short Memory Neural Networks in Semantic Search Engines Development(2020) Klimov, V.; Balandina, A.; Chernyshov, A.; Климов, Валентин Вячеславович; Баландина, Анита Ивановна; Чернышов, Артем Андреевич© 2020 The Authors. Published by Elsevier B.V.This article provides an overview and description of the long-short memory approaches for the neural networks modelling and development. The authors show the possible application of these models and methods and consider its usage during the process of natural language understanding as the part of the semantic search system.
- ПубликацияОткрытый доступComputerization of learning management process as a means of improving the quality of the educational process and student motivation(2020) Petrovskaya, A.; Pavlenko, D.; Feofanov, K.; Klimov, V.; Петровская, Анастасия Викторовна; Павленко, Дарья Александровна; Климов, Валентин Вячеславович© 2020 The Authors. Published by Elsevier B.V.The main objective of the study is to identify methods and algorithms for the dynamic generation of test cases, based on an analysis of students' academic performance using methods based on neural networks. Using these methods will help to provide a flexible approach in adapting control options to an individual level of knowledge, which in turn will allow the teacher to receive a more representative assessment of student knowledge, in accordance with the sections of the course being studied.