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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

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

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

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

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

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

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

DEPENDENCE OF CRITICAL TEMPERATURE ON DISPERSION OF CONNECTIONS IN 2D GRID

Article

Kryzhanovsky B.V., Karandashev I.M., Malsagov M.Y.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Том 10878 LNCS. 2018. С. 695-702

DEPENDENCE OF CRITICAL PARAMETERS OF 2D ISING MODEL ON LATTICE SIZE

Article

Kryzhanovsky B.V., Malsagov M.Y., Karandashev I.M.

Optical Memory and Neural Networks (Information Optics). Том 27. 2018. С. 10-22

SPECTRAL CHARACTERISTICS OF A FINITE 2D ISING MODEL

Article

Karandashev I.M., Kryzhanovsky B.V., Malsagov M.Y.

Optical Memory and Neural Networks (Information Optics). Том 27. 2018. С. 147-151

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