Zobrazeno 1 - 10
of 1 167
pro vyhledávání: '"P. Parshin"'
Autor:
Reddy, Chandan K, Shojaee, Parshin
Scientific discovery is a complex cognitive process that has driven human knowledge and technological progress for centuries. While artificial intelligence (AI) has made significant advances in automating aspects of scientific reasoning, simulation,
Externí odkaz:
http://arxiv.org/abs/2412.11427
Autor:
Nawagamuwage, Sithara U., Williams, Elliot S., Islam, Md Muhaiminul, Parshin, Igor V., Burin, Alexander L., Busschaert, Nathalie, Rubtsov, Igor V.
In an effort to increase the speed and efficiency of ballistic energy transport via oligomeric chains, we performed measurements of the transport in compounds featuring long alkyl chains of up to 37 methylene units. Compounds of the N3-(CH2)n-COOMe t
Externí odkaz:
http://arxiv.org/abs/2405.13776
Mathematical equations have been unreasonably effective in describing complex natural phenomena across various scientific disciplines. However, discovering such insightful equations from data presents significant challenges due to the necessity of na
Externí odkaz:
http://arxiv.org/abs/2404.18400
Autor:
V. Artyushkin, P. Parshin
Publikováno v:
Международная аналитика, Vol 0, Iss 1, Pp 58-75 (2017)
Since the ration between production and consumption of electricity in the context of present and future demands of various countries determines the level of their energy security, it is this ration which is the main object of the research reported in
Externí odkaz:
https://doaj.org/article/0c8b00a404e64d149d901ca63ec737ac
In an era where symbolic mathematical equations are indispensable for modeling complex natural phenomena, scientific inquiry often involves collecting observations and translating them into mathematical expressions. Recently, deep learning has emerge
Externí odkaz:
http://arxiv.org/abs/2310.02227
Publikováno v:
Transactions on Machine Learning Research, 2023
There is a recent surge in the development of spatio-temporal forecasting models in the transportation domain. Long-range traffic forecasting, however, remains a challenging task due to the intricate and extensive spatio-temporal correlations observe
Externí odkaz:
http://arxiv.org/abs/2305.18687
Optical phonons serve as the fast and efficient carriers of energy across periodic polymers due to their delocalization, large group velocity because of covalent bonding and large energy quantum compared to that for acoustic phonons, as it was observ
Externí odkaz:
http://arxiv.org/abs/2305.08972
Autor:
P. Parshin
Publikováno v:
Vestnik MGIMO-Universiteta, Vol 0, Iss 2(35), Pp 14-21 (2014)
The category of "soft power" suggested by Joseph Nye in early 1990s is analyzed in the paper as one of realization of tactile metaphor. Highlighted are those cognitive semantic peculiarities of this metaphor which contribute to its wide popularity an
Externí odkaz:
https://doaj.org/article/532af12d1cdb4ccfad73334ee56024b0
Autor:
D. S. Parshin, M. A. Topchiev, V. A. Astakhin, O. B. Chechukhina, E. O. Smirnyagina, E. N. Ravskiy
Publikováno v:
Неотложная медицинская помощь, Vol 13, Iss 3, Pp 410-418 (2024)
INTRODUCTION. Multidrug-resistant (MDR) organisms are increasingly becoming a major surgical site infection (SSI); however, the clinical outcomes and risk factors associated with resistant pathogens in general surgery remain poorly understood.THE AIM
Externí odkaz:
https://doaj.org/article/2a0bb85f8ecb410780f947ff51541165
Symbolic regression (SR) is a challenging task in machine learning that involves finding a mathematical expression for a function based on its values. Recent advancements in SR have demonstrated the effectiveness of pre-trained transformer-based mode
Externí odkaz:
http://arxiv.org/abs/2303.06833