Discrete and Continuous Models and Applied Computational Science

Тип

Journal

Издательство

Федеральное государственное автономное образовательное учреждение высшего образования Российский университет дружбы народов (РУДН)

Коды

ISSN: 2658-4670, EISSN: 2658-7149

Список записей

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ON THE METHODS OF MINIMIZING THE RISKS OF IMPLEMENTING ARTIFICIAL INTELLIGENCE IN THE FINANCIAL BUSINESS OF A COMPANY

Article

Shchetinin E.Yu, Sevastyanov Leonid Antonovich, Demidova Anastasya V., Velieva Tatyana R.

Discrete and Continuous Models and Applied Computational Science. Том 33. 2025. С. 103-111

ON THE METHODS OF MINIMIZING THE RISKS OF IMPLEMENTING ARTIFICIAL INTELLIGENCE IN THE FINANCIAL BUSINESS OF A COMPANY

Article

Shchetinin E.Yu, Sevastyanov Leonid Antonovich, Demidova Anastasya V., Velieva Tatyana R.

Discrete and Continuous Models and Applied Computational Science. Том 33. 2025. С. 103-111

ON THE METHODS OF MINIMIZING THE RISKS OF IMPLEMENTING ARTIFICIAL INTELLIGENCE IN THE FINANCIAL BUSINESS OF A COMPANY

Article

Shchetinin E.Yu, Sevastyanov Leonid Antonovich, Demidova Anastasya V., Velieva Tatyana R.

Discrete and Continuous Models and Applied Computational Science. Том 33. 2025. С. 103-111

USING GENERATIVE ARTIFICIAL INTELLIGENCE

Article

Kulyabov Dmitry S., Sevastyanov Leonid Antonovich

Discrete and Continuous Models and Applied Computational Science. Том 33. 2025. С. 125-129

USING GENERATIVE ARTIFICIAL INTELLIGENCE

Article

Kulyabov Dmitry S., Sevastyanov Leonid Antonovich

Discrete and Continuous Models and Applied Computational Science. Том 33. 2025. С. 125-129

BUSINESS PROCESS ANALYSIS OF UNIVERSITY ADMISSIONS: COMBINING TM FORUM’S ETOM FRAMEWORK, DISCRETE-EVENT SIMULATION, AND QUEUING THEORY

Article

Terentyev Konstantin M., Abuzyarova Leyla D., Kochetkova Irina, Samouylov Konstantin Evgenevich

Discrete and Continuous Models and Applied Computational Science. Том 33. 2025. С. 157-171

BUSINESS PROCESS ANALYSIS OF UNIVERSITY ADMISSIONS: COMBINING TM FORUM’S ETOM FRAMEWORK, DISCRETE-EVENT SIMULATION, AND QUEUING THEORY

Article

Terentyev Konstantin M., Abuzyarova Leyla D., Kochetkova Irina, Samouylov Konstantin Evgenevich

Discrete and Continuous Models and Applied Computational Science. Том 33. 2025. С. 157-171

BUSINESS PROCESS ANALYSIS OF UNIVERSITY ADMISSIONS: COMBINING TM FORUM’S ETOM FRAMEWORK, DISCRETE-EVENT SIMULATION, AND QUEUING THEORY

Article

Terentyev Konstantin M., Abuzyarova Leyla D., Kochetkova Irina, Samouylov Konstantin Evgenevich

Discrete and Continuous Models and Applied Computational Science. Том 33. 2025. С. 157-171

PREDICTIVE DIAGNOSTICS OF COMPUTER SYSTEMS LOGS USING NATURAL LANGUAGE PROCESSING TECHNIQUES

Article

Kiriachek Vladislav A., Salpagarov S.I.

Discrete and Continuous Models and Applied Computational Science. Том 33. 2025. С. 172-183

PREDICTIVE DIAGNOSTICS OF COMPUTER SYSTEMS LOGS USING NATURAL LANGUAGE PROCESSING TECHNIQUES

Article

Kiriachek Vladislav A., Salpagarov S.I.

Discrete and Continuous Models and Applied Computational Science. Том 33. 2025. С. 172-183

ON MODELLING MULTI-AGENT SYSTEMS BASED ON LARGE LANGUAGE MODELS

Article

Shchetinin E.Yu, Velieva Tatyana R., Yurgina Lyubov A., Demidova Anastasya V.

Discrete and Continuous Models and Applied Computational Science. Том 33. 2025. С. 214-225

ON MODELLING MULTI-AGENT SYSTEMS BASED ON LARGE LANGUAGE MODELS

Article

Shchetinin E.Yu, Velieva Tatyana R., Yurgina Lyubov A., Demidova Anastasya V.

Discrete and Continuous Models and Applied Computational Science. Том 33. 2025. С. 214-225

STATISTICAL AND DENSITY-BASED CLUSTERING TECHNIQUES IN THE CONTEXT OF ANOMALY DETECTION IN NETWORK SYSTEMS: A COMPARATIVE ANALYSIS

Article

Baklashov Aleksandr S., Kulyabov Dmitry S.

Discrete and Continuous Models and Applied Computational Science. Том 33. 2025. С. 27-45

STATISTICAL AND DENSITY-BASED CLUSTERING TECHNIQUES IN THE CONTEXT OF ANOMALY DETECTION IN NETWORK SYSTEMS: A COMPARATIVE ANALYSIS

Article

Baklashov Aleksandr S., Kulyabov Dmitry S.

Discrete and Continuous Models and Applied Computational Science. Том 33. 2025. С. 27-45

STATISTICAL AND DENSITY-BASED CLUSTERING TECHNIQUES IN THE CONTEXT OF ANOMALY DETECTION IN NETWORK SYSTEMS: A COMPARATIVE ANALYSIS

Article

Baklashov Aleksandr S., Kulyabov Dmitry S.

Discrete and Continuous Models and Applied Computational Science. Том 33. 2025. С. 27-45

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Другие источники записей

PARTICLES

Journal

ЯЗЫКИ. НАРОДЫ. КУЛЬТУРЫ

Collection of articles

Российский университет дружбы народов (РУДН). 2018.