Zobrazeno 1 - 10
of 3 319
pro vyhledávání: '"P. A. Salnikov"'
Autor:
McCormick, Jeremy, Dubois-Felsmann, Gregory P., Salnikov, Andrei, Van Klaveren, Brian, Jenness, Tim
The Data Management team of the Vera C. Rubin Observatory has developed a data description language and toolset, Felis, for defining the semantics and metadata of its public-facing data catalogs. Felis uses a rich Pydantic data model for describing a
Externí odkaz:
http://arxiv.org/abs/2412.09721
Publikováno v:
Advances in Information and Communication Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 3
It is typically assumed that for the successful use of machine learning algorithms, these algorithms should have a higher accuracy than a human expert. Moreover, if the average accuracy of ML algorithms is lower than that of a human expert, such algo
Externí odkaz:
http://arxiv.org/abs/2411.10474
Autor:
P. A. Salnikov, A. A. Khabarova, G. S. Koksharova, R. V. Mungalov, P. S. Belokopytova, I. E. Pristyazhnuk, A. R. Nurislamov, P. Somatich, M. M. Gridina, V. S. Fishman
Publikováno v:
Вавиловский журнал генетики и селекции, Vol 25, Iss 6, Pp 607-612 (2021)
Random transgene integration is a powerful tool for developing new genome-wide screening approaches. These techniques have already been used for functional gene annotation by transposon-insertion sequencing, for identification of transcription factor
Externí odkaz:
https://doaj.org/article/8b84948ea545436e92bd7ab659623bea
Publikováno v:
International Conference on Applications of Natural Language to Information Systems, pages: 107-118, year: 2024, organization: Springer
While being one of the most popular question types, simple questions such as "Who is the author of Cinderella?", are still not completely solved. Surprisingly, even the most powerful modern Large Language Models are prone to errors when dealing with
Externí odkaz:
http://arxiv.org/abs/2409.15902
Autor:
Chekeres, Olga, Salnikov, Vladimir
Previously, Wilson surface observables were interpreted as a class of Poisson sigma models. We profit from this construction to define and study the super version of Wilson surfaces. We provide some `proof of concept' examples to illustrate modificat
Externí odkaz:
http://arxiv.org/abs/2403.09820
Network time series are becoming increasingly relevant in the study of dynamic processes characterised by a known or inferred underlying network structure. Generalised Network Autoregressive (GNAR) models provide a parsimonious framework for exploiti
Externí odkaz:
http://arxiv.org/abs/2401.09381
The paper considers the geometry of the Modified Solid-Liquid-Vapour equation of state. This model describes a substance state in three phases. Thermodynamics states are points on Legendrian or Lagrangian manifolds in the corresponding contact or sym
Externí odkaz:
http://arxiv.org/abs/2312.01877
Network time series are becoming increasingly important across many areas in science and medicine and are often characterised by a known or inferred underlying network structure, which can be exploited to make sense of dynamic phenomena that are ofte
Externí odkaz:
http://arxiv.org/abs/2312.00530
Autor:
Roman O. Salnikov, Ivan K. Meshkov, Azat R. Gizatulin, Alexandr L. Timofeev, Albert Kh. Sultanov, Artemy A. Kharenko, Alina G. Meshkova
Publikováno v:
Физика волновых процессов и радиотехнические системы, Vol 27, Iss 3, Pp 61-70 (2024)
Background. For further development of communication networks, it is planned to use hybrid satellite networks for traffic transmission. However, satellite communication channels have features such as distortion caused by the Doppler effect and increa
Externí odkaz:
https://doaj.org/article/6ad9a19930dd4c08b810a21d9f6f29b8
Autor:
Ivan A. Trofimov, Oleg G. Salnikov, Andrey N. Pravdivtsev, Henri de Maissin, Anna P. Yi, Eduard Y. Chekmenev, Jan-Bernd Hövener, Andreas B. Schmidt, Igor V. Koptyug
Publikováno v:
Communications Chemistry, Vol 7, Iss 1, Pp 1-9 (2024)
Abstract Radio Amplification by Stimulated Emission of Radiation (RASER) is a phenomenon observed during nuclear magnetic resonance (NMR) experiments with strongly negatively polarized systems. This phenomenon may be utilized for the production of ve
Externí odkaz:
https://doaj.org/article/d9e9bd5c2d03452e808d46bfae18c10d