Zobrazeno 1 - 10
of 388
pro vyhledávání: '"Mavrin, P. A."'
Autor:
Pour, Mohammad Mahdi Abdollah, Farinneya, Parsa, Toroghi, Armin, Korikov, Anton, Pesaranghader, Ali, Sajed, Touqir, Bharadwaj, Manasa, Mavrin, Borislav, Sanner, Scott
Publikováno v:
European Conference on Information Retrieval, pages 3--17, year 2023, Springer
As natural language interfaces enable users to express increasingly complex natural language queries, there is a parallel explosion of user review content that can allow users to better find items such as restaurants, books, or movies that match thes
Externí odkaz:
http://arxiv.org/abs/2308.00762
Autor:
Feder, Evgenii, Paramonov, Anton, Mavrin, Pavel, Salem, Iosif, Schmid, Stefan, Aksenov, Vitaly
Datacenter networks are becoming increasingly flexible with the incorporation of new networking technologies, such as optical circuit switches. These technologies allow for programmable network topologies that can be reconfigured to better serve netw
Externí odkaz:
http://arxiv.org/abs/2302.13113
Publikováno v:
Monitoring systems of environment 3(45),2021: 107-118
An algorithm and a program for detecting the boundaries of water bodies for the autopilot module of asurface robot are proposed. A method for detecting water objects on satellite maps by the method of finding a color in the HSV color space, using ero
Externí odkaz:
http://arxiv.org/abs/2212.02193
The efficiency of using the YOLOV5 machine learning model for solving the problem of automatic de-tection and recognition of micro-objects in the marine environment is studied. Samples of microplankton and microplastics were prepared, according to wh
Externí odkaz:
http://arxiv.org/abs/2211.15218
Publikováno v:
Forecasting, Vol 6, Iss 2, Pp 343-356 (2024)
Evaluation of water quality and accurate prediction of water pollution indicators are key components in water resource management and water pollution control. The use of biological early warning systems (BEWS), in which living organisms are used as b
Externí odkaz:
https://doaj.org/article/0d81820c1e3843058b98ee9739ef9ae7
Autor:
Irina Makarova, Dmitriy Makarov, Larisa Gubacheva, Eduard Mukhametdinov, Gennadiy Mavrin, Aleksandr Barinov, Vadim Mavrin, Larisa Gabsalikhova, Aleksey Boyko, Polina Buyvol
Publikováno v:
Infrastructures, Vol 9, Iss 9, p 148 (2024)
The Arctic Zone of Russia (AZR), due to its significant potential, for the implementation of which infrastructure projects and strategic plans are envisaged, is of great importance for the country. Particular attention is paid to the transport and re
Externí odkaz:
https://doaj.org/article/0ded0d68634c4c05a738a6eee70d865e
Publikováno v:
Promet (Zagreb), Vol 35, Iss 2, Pp 175-183 (2023)
Numerous studies have shown that city bus drivers suffer from three key categories of health disorders: cardiovascular diseases, gastrointestinal disorders and musculoskeletal system issues, affecting the individual’s ability to work. The aim of th
Externí odkaz:
https://doaj.org/article/98c7749008cb4a628d74cdd7f8a221ff
Publikováno v:
BIO Web of Conferences, Vol 113, p 05035 (2024)
The paper compares the effectiveness of two methods application for detecting and recognizing micro-objects in an aqua environment on the example of plankton using neural networks and various technologies and developed in different programming langua
Externí odkaz:
https://doaj.org/article/d64a7416b3ba42be8cd91c8436596d09
Learning good representations is a long standing problem in reinforcement learning (RL). One of the conventional ways to achieve this goal in the supervised setting is through regularization of the parameters. Extending some of these ideas to the RL
Externí odkaz:
http://arxiv.org/abs/1911.08610
Publikováno v:
ICML, 2019
In distributional reinforcement learning (RL), the estimated distribution of value function models both the parametric and intrinsic uncertainties. We propose a novel and efficient exploration method for deep RL that has two components. The first is
Externí odkaz:
http://arxiv.org/abs/1905.06125