Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Yu. N. Matveev"'
Publikováno v:
Proceeding of Heat Pipe Technology: Volume 2. Materials and Applications.
Autor:
E. V. Kataeva, A. V. Filatov, Yu. N. Matveev, S. A. Kuznetsova, A. N. Khmelevskaya, O. S. Fedyanina, A. N. Khvastunova, Yu. Yu. Chuksina
Publikováno v:
Almanac of Clinical Medicine. 49:405-411
Background: At present, the diagnosis of lymphoproliferative disorders is based on the combination of blood or bone marrow smear morphology and immunophenotyping by flow cytometry. Immunophenotypic testing by flow cytometry technique is available onl
Autor:
Yu. N. Matveev, L. V. Azarova
Publikováno v:
Voprosy sovremennoj nauki i praktiki. Universitet imeni V.I. Vernadskogo. :166-171
The analysis of the current practice of financial monitoring in Russia is given. A study of the main directions, methods and forms of its implementation in the budgetary sphere and commercial organizations was carried out. The procedure for its imple
Publikováno v:
Voprosy sovremennoj nauki i praktiki. Universitet imeni V.I. Vernadskogo. :109-119
Publikováno v:
Voprosy sovremennoj nauki i praktiki. Universitet imeni V.I. Vernadskogo. :019-027
Publikováno v:
Voprosy sovremennoj nauki i praktiki. Universitet imeni V.I. Vernadskogo. :094-101
Publikováno v:
Voprosy sovremennoj nauki i praktiki. Universitet imeni V.I. Vernadskogo. :203-212
Publikováno v:
Pattern Recognition and Image Analysis. 26:165-175
The problem of face photo retrieval using sketches constructed based on a description provided by a witness is discussed. The status of this problem from primary concepts and the used terminology, to modern technologies for constructing sketches, rea
Publikováno v:
Proceedings of the Scientific-Practical Conference "Research and Development-2016" ISBN: 9783319628691
Aims and objectives of the study are described; state-of-the-art techniques in the study area are outlined. Several effective approaches proposed in the study and targeted at robustness improvement in complex acoustic environments are described. They
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad4dacbb4279c533c095f3a71fd3aab3
https://doi.org/10.1007/978-3-319-62870-7_2
https://doi.org/10.1007/978-3-319-62870-7_2
Publikováno v:
IOP Conference Series: Materials Science and Engineering. 618:012012
This paper provides the comparative analysis between two recent image-to-image translation models that based on Generative Adversarial Networks. The first one is UNIT which consists of coupled GANs and variational autoencoders (VAEs) with shared-late