Karandashev I.M. - Список публикаций

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NEURAL NETWORK APPROXIMATION OF HYDROGEN DETONATION WITH CONSIDERATION OF PHYSICALLY REASONABLE SELECTION OF TRAINING DATA

Article

Kolesnikova O.P., Mal’Sagov Magomed Yu, Mikhalchenko Elena V., Karandashev Iakov M.

Studies in Computational Intelligence. Том 1241 SCI. 2026. С. 361-369

DIFFERENTIABLE OPTIMAL DISCRETE VALUE QUANTIZATION FOR SPIKING NEURAL NETWORKS ON WEIGHT-CONSTRAINED NEUROMORPHIC HARDWARE

Article

Kartashov Ivan, Pushkareva Maria M., Karandashev Iakov M.

Studies in Computational Intelligence. Том 1241 SCI. 2026. С. 202-213

NEURAL NETWORKS-BASED ROUTING CONGESTION PREDICTION USING INITIAL LAYOUT PARAMETERS

Article

Saibodalov Marat, Dashiev M., Karandashev Iakov M., Zheludkov Nikita, Kocheva Elizaveta

Optical Memory and Neural Networks (Information Optics). Том 34. 2025. С. S94-S101

LEVERAGING GRAPH REPRESENTATIONS TO ENHANCE CRITICAL PATH DELAY PREDICTION IN DIGITAL COMPLEX FUNCTIONAL BLOCKS USING NEURAL NETWORKS

Article

Dashiev M., Zheludkov Nikita, Karandashev Iakov M.

Optical Memory and Neural Networks (Information Optics). Том 34. 2025. С. S135-S147

SIMULATION OF HYDROGEN COMBUSTION AT DIFFERENT PRESSURES USING A NEURAL NETWORK

Article

Mal’Sagov M.Y., Mikhal’Chenko E.V., Karandashev I.M., Nikitin V.F.

COMBUSTION EXPLOSION AND SHOCK WAVES. Том 59. 2023. С. 145-150

МОДЕЛИРОВАНИЕ ПРОЦЕССА ГОРЕНИЯ ВОДОРОДА ПРИ РАЗЛИЧНЫХ ДАВЛЕНИЯХ С ПОМОЩЬЮ НЕЙРОННОЙ СЕТИ

Article

Мальсагов М.Ю., Михальченко Е.В., Карандашев Я.М., Никитин В.Ф.

Физика горения и взрыва. Том 59. 2023. С. 24-30

ПРИМЕНЕНИЕ САМООБУЧАЮЩИХСЯ АЛГОРИТМОВ ДЛЯ ДЕТЕКЦИИ АНОМАЛИЙ НА РЕНТГЕНОВСКИХ СНИМКАХ

Article

САЙБОДАЛОВ М.Х., КАРАНДАШЕВ Я.М.

XXV МЕЖДУНАРОДНАЯ НАУЧНО-ТЕХНИЧЕСКАЯ КОНФЕРЕНЦИЯ «НЕЙРОИНФОРМАТИКА-2023». 2023. С. 370-380

INVESTIGATION OF THE EFFICIENCYOF USING U-NET AND CYCLEGAN ARCHITECTURESIN INVERSE LITHOGRAPHY-BASED 90-NM PHOTOMASK GENERATION

Article

Karandashev I.M., Teplov G.S.

Mathematical modeling in materials science of electronic component. ICM3SEC-2023. 2023. С. 70-72

INVESTIGATING THE EFFICIENCY OF USING U-NET, ERF-NET AND DEEPLABV3 ARCHITECTURES IN INVERSE LITHOGRAPHY-BASED 90-NM PHOTOMASK GENERATION

Article

Karandashev I.M., Teplov G.S., Karmanov A.A., Keremet V.V., Kuzovkov A.V.

Optical Memory and Neural Networks (Information Optics). Том 32. 2023. С. 219-225

ANALYSE EXHALED AIR WITH MASS SPECTROMETRY IN PATIENTS WITH CARDIOVASCULAR AND ONCOLOGICAL DISEASES

Article

Karandashev Y.M., Mohammed M.A.

Современные методы теории краевых задач. 2022. С. 331-333

ИСПОЛЬЗОВАНИЕ НЕЙРОННЫХ СЕТЕЙ ДЛЯ ВЫЯВЛЕНИЯ АНОМАЛИЙ НА РЕНТГЕНОВСКИХ СНИМКАХ, ПОЛУЧЕННЫХ НА СКАНЕРАХ ПЕРСОНАЛЬНОГО ДОСМОТРА

Article

МАРКОВ А.С., КОТЛЯРОВ Е.Ю., АНОСОВА Н.П., ПОПОВ В.А., КАРАНДАШЕВ Я.М., АПУШКИНСКАЯ Д.Е.

Avtomatika i Telemekhanika. 2022. С. 23-34

APPLICATION OF NEURAL NETWORK AUTO ENCODERS OF UNET TYPE FOR INVERSE PHOTOLITOGRAPHY TASKS

Article

Keremet V.V., Karandashev I.M., Kuzovkov A.V., Teplov G.S.

Mathematical modeling in materials science of electronic component : Proceedings of the International conference. 2021. С. 22-25

USING MACHINE LEARNING METHODS TO PREDICT THE MAGNITUDE AND THE DIRECTION OF MASK FRAGMENTS DISPLACEMENT IN OPTICAL PROXIMITY CORRECTION (OPC)

Article

Tryasoguzov P.E., Kuzovkov A.V., Karandashev I.M., Teplov G.S.

Optical Memory and Neural Networks (Information Optics). Том 30. 2021. С. 291-297

EXPONENTIAL DISCRETIZATION OF WEIGHTS OF NEURAL NETWORK CONNECTIONS IN PRE-TRAINED NEURAL NETWORK. PART II: CORRELATION MAXIMIZATION

Article

Pushkareva M.M., Karandashev I.M.

Optical Memory and Neural Networks (Information Optics). Том 29. 2020. С. 179-186

EXPONENTIAL DISCRETIZATION OF WEIGHTS OF NEURAL NETWORK CONNECTIONS IN PRE-TRAINED NEURAL NETWORKS

Article

Malsagov M.Y., Khayrov E.M., Pushkareva M.M., Karandashev I.M.

Optical Memory and Neural Networks (Information Optics). Том 28. 2019. С. 262-270

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