федеральное государственное автономное образовательное учреждение высшего образования
«Самарский национальный исследовательский университет имени академика С.П. Королева»

Firsov, Nikita A.

  • specialist
  • specialist
  • Department of Supercomputers and General Informatics, assistant Lecturer
    2023
    • 1 Podlipnov V.V., Firsov N.A., Ivliev N.A. etc. Spectral-spatial neural network classification of hyperspectral vegetation images // IOP Conference Series: Earth and Environmental Science. — 2023. — Vol. 1138. Issue 1. № 1.
    • 2 Zherdeva L.A., Minaev E.Yu., Firsov N.A. Building surface damage recognition based on synthetic data // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
    • 3 Ryskova D.D., Nikonorov A., Pirogov A.V. etc. Neural network classification of soils with different carbon and calcium content based on hyperspectral data // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
    • 4 Pirogov A.V., Nikonorov A., Muzyka A.A. etc. Hyperspectral images neural network analysis of unstained micropreparations // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
    • 5 Firsov N.A., Podlipnov V.V., Ivliev N.A. etc. Ensembles of spectral-spatial convolutional neural network models for classifying soil types in hyperspectral images // Computer Optics 2023. — Vol. 47. Issue 5. № 5. — P. 795-805
    2022
    • 1 Hamandi A.C., Skidanov R.V., Firsov N.A. etc. Hyperspectral imaging of microscopic medical preparations // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
    • 2 Makarov A.R., Podlipnov V.V., Ivliev N.A. etc. Neural network classification of coffee varieties on hyperspectral images // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
    2021
    • 1 Firsov N.A., Podlipnov V.V., Ivliev N.A. etc. Neural network-aided classification of hyperspectral vegetation images with a training sample generated using an adaptive vegetation index // Computer Optics 2021. — Vol. 45. Issue 6. — P. 887-896
    2020
    • 1 Evdokimova V., Petrov M., Klyueva M. A. etc. Study of GAN-based image reconstruction for diffractive optical systems // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —