Kulyabov D.S. - list of publications

Журнал вычислительной математики и математической физики. Федеральное государственное бюджетное учреждение "Российская академия наук". Vol. 60. 2020. P. 70-79

THE MULTI-MODEL APPROACH TO THE STUDY OF COMPLEX SYSTEMS USING THE EXAMPLE OF THE RED ACTIVE QUEUE MANAGEMENT ALGORITHM

Article

Korolkova A.V., Kulyabov D.S., Hnatiˇc Michal

Distributed computer and communication networks: control, computation, communications (DCCN-2020). Институт проблем управления им. В.А. Трапезникова РАН. 2020. P. 418-425

HYPERBOLIC NUMBERS AS EINSTEIN NUMBERS

Article

Kulyabov D.S., Korolkova A.V., Gevorkyan M.N.

Journal of Physics: Conference Series. Institute of Physics Publishing. Vol. 1557. 2020.

MELANOMA DETECTION COMPUTER SYSTEM DEVELOPMENT WITH DEEP NEURAL NETWORKS

Article

Shchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayryan E.A., Demidova A.V.

Communications in Computer and Information Science. Springer Verlag. Vol. 1337. 2020. P. 422-434

ПРИМЕР МОДУЛЬНОГО РАСШИРЕНИЯ СИСТЕМЫ КОМПЬЮТЕРНОЙ АЛГЕБРЫ

Article

Геворкян М.Н., Королькова А.В., Кулябов Д.С., Севастьянов Л.А.

Программирование. Федеральное государственное бюджетное учреждение "Российская академия наук". 2020. P. 30-37

LANGUAGES FOR MODELING THE RED ACTIVE QUEUE MANAGEMENT ALGORITHMS: MODELICA VS. JULIA

Article

Apreutesey A.M.Yu., Korolkova A.V., Kulyabov D.S.

CEUR Workshop Proceedings. CEUR-WS. Vol. 2639. 2020. P. 130-140

A PRACTICAL APPROACH TO TESTING RANDOM NUMBER GENERATORS IN COMPUTER ALGEBRA SYSTEMS

Article

Gevorkyan M.N., Demidova A.V., Korol’kova A.V., Kulyabov D.S.

Computational Mathematics and Mathematical Physics. Vol. 60. 2020. P. 65-73

DEEP NEURAL NETWORKS FOR EMOTION RECOGNITION

Article

Shchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayrjan E.A., Demidova A.V.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12563 LNCS. 2020. P. 365-379

EMOTIONS RECOGNITION IN HUMAN SPEECH WITH DEEP LEARNING MODELS

Article

Shchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Demidova A.V.

Пятая Международная конференция по стохастическим методам (МКСМ-5). Российский университет дружбы народов (РУДН). 2020. P. 368-372

ON IMPROVING THE ACCURACY OF THE CLASSIFICATION ON IMBALANCED CLASSES WITH MACHINE LEARNING

Article

Shchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayrjan E.A.

Distributed computer and communication networks: control, computation, communications (DCCN-2020). Институт проблем управления им. В.А. Трапезникова РАН. 2020. P. 130-138

AN EFFECTIVE STABLE NUMERICAL METHOD FOR INTEGRATING HIGHLY OSCILLATING FUNCTIONS WITH A LINEAR PHASE

Article

Sevastianov L.A., Lovetskiy K.P., Kulyabov D.S.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12138 LNCS. 2020. P. 29-43

ВОЗМОЖНОСТИ ГИБРИДНОГО МОДЕЛИРОВАНИЯ СИСТЕМ С УПРАВЛЕНИЕМ НА ЯЗЫКАХ MODELICA И JULIA

Article

Апреутесей А.М., Королькова А.В., Кулябов Д.С.

Distributed computer and communication networks: control, computation, communications (DCCN-2020). Институт проблем управления им. В.А. Трапезникова РАН. 2020. P. 433-440

APPLICATION OF A NUMERICAL-ANALYTICAL APPROACH IN THE PROCESS OF MODELING DIFFERENTIAL EQUATIONS IN THE JULIA LANGUAGE

Article

Fedorov A.V., Masolova A.O., Korolkova A.V., Kulyabov D.S.

Journal of Physics: Conference Series. Institute of Physics Publishing. Vol. 1694. 2020.

APPROACHES TO THE IMPLEMENTATION OF GENERALIZED COMPLEX NUMBERS IN THE JULIA LANGUAGE

Article

Gevorkyan M.N., Korolkova A.V., Kulyabov D.S.

CEUR Workshop Proceedings. CEUR-WS. Vol. 2639. 2020. P. 141-157

SKIN CANCER CLASSIFICATION COMPUTER SYSTEM DEVELOPMENT WITH DEEP LEARNING

Article

Demidova A.V., Kulyabov D.S., Shchetinin E.Yu.

CEUR Workshop Proceedings. CEUR-WS. Vol. 2639. 2020. P. 57-69

HYBRID MODELLING OF THE RED ALGORITHM IN THE JULIA LANGUAGE

Article

Apreutesey A.M.Y., Korolkova A.V., Kulyabov D.S.

Journal of Physics: Conference Series. Institute of Physics Publishing. Vol. 1694. 2020.

ONE-STEP STOCHASTIZATION METHODS FOR OPEN SYSTEMS

Article

Korolkova A., Kulyabov D.

MATHEMATICAL MODELING AND COMPUTATIONAL PHYSICS 2019 (MMCP 2019). E D P SCIENCES. Vol. 226. 2020.

COMPARATIVE ANALYSIS OF MACHINE LEARNING METHODS BY THE EXAMPLE OF THE PROBLEM OF DETERMINING MUON DECAY

Article

Gevorkyan M.N., Demidova A.V., Kulyabov D.S.

Discrete and Continuous Models and Applied Computational Science. Федеральное государственное автономное образовательное учреждение высшего образования Российский университет дружбы народов (РУДН). Vol. 28. 2020. P. 105-119

DIAGRAM REPRESENTATION FOR THE CLOSED AND OPEN SCHLOGL MODEL

Article

Апреутесей А.М., Федоров А.В., Королькова А.В., Кулябов Д.С.

Системы управления, сложные системы: моделирование, устойчивость, стабилизация, интеллектуальные технологии. Елецкий государственный университет им. И.А. Бунина. 2020. P. 156-162

COMPARATIVE ANALYSIS OF NEURAL NETWORK ARCHITECTURES FOR DIFFERENT TASKS

Article

Demidova T.S., Demidova A.V., Korolkova A.V., Kulyabov D.S.

Проблемы современного мира глазами молодежи. Российский университет дружбы народов (РУДН). 2020. P. 227-232

PRACTICAL APPLICATION OF THE MULTI-MODEL APPROACH IN THE STUDY OF COMPLEX SYSTEMS

Article

Korolkova A.V., Kulyabov D.S., Hnatič M.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 12563 LNCS. 2020. P. 526-537

PARALINGUISTIC MODEL FOR EMOTIONS RECOGNITION WITH DEEP NEURAL NETWORKS

Article

Shchetinin E.Y., Sevastianov L.A., Kulyabov D.S., Ayrjan E.A., Demidova A.V.

Distributed computer and communication networks: control, computation, communications (DCCN-2020). Институт проблем управления им. В.А. Трапезникова РАН. 2020. P. 42-50

NEW FEATURES IN THE SECOND VERSION OF THE CADABRA COMPUTER ALGEBRA SYSTEM

Article

Kulyabov D.S., Korol’kova A.V., Sevast’yanov L.A.

Programming and computer software. Vol. 45. 2019. P. 58-64

OVERVIEW OF SOCIAL NETWORKS RESEARCH SOFTWARE

Article

Gevorkyan M.N., Korolkova A.V., Kulyabov D.S.

CEUR Workshop Proceedings. CEUR-WS. Vol. 2407. 2019. P. 53-62

MATHEMATICAL MODEL OF CAVITATION UNDER THE INFLUENCE OF A SINGLE STRETCHING PULSE

Article

Kravchenko N.Y., Kulyabov D.S.

Discrete and Continuous Models and Applied Computational Science. Федеральное государственное автономное образовательное учреждение высшего образования Российский университет дружбы народов (РУДН). Vol. 27. 2019. P. 49-59

STATISTICALLY SIGNIFICANT PERFORMANCE TESTING OF JULIA SCIENTIFIC PROGRAMMING LANGUAGE

Article

Gevorkyan M.N., Demidova A.V., Korolkova A.V., Kulyabov D.S.

Journal of Physics: Conference Series. Institute of Physics Publishing. Vol. 1205. 2019.

CAS PSEUDO-RANDOM NUMBERS GENERATORS STATISTICAL TEST SUITS

Article

Gevorkyan M.N., Kulyabov D.S., Demidova A.V., Korolkova A.V.

Computer Algebra. Российский университет дружбы народов (РУДН). 2019. P. 115-118

THE GENERAL RENOVATION AS THE ACTIVE QUEUE MANAGEMENT MECHANISM. SOME ASPECTS AND RESULTS

Article

Hilquias V.C.C., Zaryadov I.S., Tsurlukov V.V., Milovanova T.A., Bogdanova E.V., Korolkova A.V., Kulyabov D.S.

Communications in Computer and Information Science. Springer Verlag. Vol. 1141 CCIS. 2019. P. 488-502

STATISTICALLY SIGNIFICANT COMPARATIVE PERFORMANCE TESTING OF JULIA AND FORTRAN LANGUAGES IN CASE OF RUNGE–KUTTA METHODS

Article

Gevorkyan M.N., Korolkova A.V., Kulyabov D.S., Lovetskiy K.P.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11189 LNCS. 2019. P. 400-407

NUMERICAL ANALYSIS OF EIKONAL EQUATION

Article

Kulyabov D.S., Korolkova A.V., Velieva T.R., Gevorkyan M.N.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. SPIE. Vol. 11066. 2019.

FINSLERIAN REPRESENTATION OF THE MAXWELL EQUATIONS

Article

Kulyabov D.S., Korolkova A.V., Velieva T.R., Demidova A.V.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. SPIE. Vol. 11066. 2019.

MODELING RED ALGORITHM MODIFICATIONS IN THE OPENMODELICA

Article

Apreutesey A.-M.Y., Korolkova A.V., Kulyabov D.S.

CEUR Workshop Proceedings. CEUR-WS. Vol. 2407. 2019. P. 5-14

ESSAY ON THE STUDY OF THE SELF-OSCILLATING REGIME IN THE CONTROL SYSTEM

Article

Korolkova A.V., Kulyabov D.S., Velieva T.R., Zaryadov I.S.

Proceedings - European Council for Modelling and Simulation, ECMS. European Council for Modelling and Simulation. Vol. 33. 2019. P. 473-480

PARAMETRIC STUDY OF THE CONTROL SYSTEM IN THE TCP NETWORK

Article

Velieva T.R., Korolkova A.V., Kulyabov D.S., Abramov S.A.

10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2018. Moscow, Russia, November 05-09, 2018.. IEEE. Vol. 2018-November. 2019.

STRUCTURAL APPROACH TO THE DEEP LEARNING METHOD

Article

Sevastianov L.A., Sevastianov A.L., Ayrjan E.A., Korolkova A.V., Kulyabov D.S., Pokorny I.

CEUR Workshop Proceedings. CEUR-WS. Vol. 2507. 2019. P. 272-275

НОВЫЕ ВОЗМОЖНОСТИ ВТОРОЙ ВЕРСИИ ПАКЕТА КОМПЬЮТЕРНОЙ АЛГЕБРЫ CADABRA

Article

Кулябов Д.С., Королькова А.В., Севастьянов Л.А.

Программирование. Федеральное государственное бюджетное учреждение "Российская академия наук". 2019. P. 41-48

SOFTWARE PACKAGE DEVELOPMENT FOR THE ACTIVE TRAFFIC MANAGEMENT MODULE SELF-OSCILLATION REGIME INVESTIGATION

Article

Velieva T.R., Korolkova A.V., Demidova A.V., Kulyabov D.S.

ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING. Vol. 761. 2019. P. 515-525

MODELING THE DSRED AND GRED ALGORITHMS USING MODELICA LANGUAGE

Article

Апреутесей А.М.Ю., Королькова А.В., Кулябов Д.С.

Системы управления, технические системы: устойчивость, стабилизация, пути и методы исследования. Елецкий государственный университет им. И.А. Бунина. 2019. P. 101-107

PRINCIPLES FOR SELECTING DEEP MACHINE LEARNING MODELS FOR DATA ANALYSIS

Article

Демидова Т.С., Кулябов Д.С.

Системы управления, технические системы: устойчивость, стабилизация, пути и методы исследования. Елецкий государственный университет им. И.А. Бунина. 2019. P. 90-95

Кулябов Д.С.

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