Zobrazeno 1 - 10
of 1 010
pro vyhledávání: '"Pletnev, P."'
Autor:
Kirillov, Ivan, Parkhomenko, Denis, Chernyshev, Kirill, Pletnev, Alexander, Shi, Yibo, Lin, Kai, Babin, Dmitry
Learned video compression methods already outperform VVC in the low-delay (LD) case, but the random-access (RA) scenario remains challenging. Most works on learned RA video compression either use HEVC as an anchor or compare it to VVC in specific tes
Externí odkaz:
http://arxiv.org/abs/2406.16544
Publikováno v:
Вестник университета, Vol 0, Iss 10, Pp 142-149 (2024)
The key changes observed in modern international trade in agricultural products have been analyzed from the position of assessing the challenges faced by agricultural markets in recent years. The features of the agro-industrial products international
Externí odkaz:
https://doaj.org/article/af36683768a54c16bc386eee1b955b80
Publikováno v:
Вестник университета, Vol 0, Iss 9, Pp 134-141 (2024)
For decades, international trade has contributed to the reduction of global poverty and the income gap between countries, and the development of intercountry exchange of agricultural products has largely ensured the solution of problems of poverty an
Externí odkaz:
https://doaj.org/article/2af45021ddd44fdcb5950b1aefdf58e5
Publikováno v:
Вестник Камчатской региональной ассоциации "Учебно-научный центр". Серия: Науки о Земле, Vol 61, Iss 1, Pp 19-27 (2024)
The fauna of planktonic and benthic foraminifera of the Tatar Strait in the surface layer of sediments from cores sampled during the cruise LV85 on the R/V «Akademik Lavrentiev» in May 2019 has been studied. The benthic foraminifera assemblages, co
Externí odkaz:
https://doaj.org/article/b458bafa1c9748e1aedf2135e3a4b2c8
Autor:
Bailey B. Banach, Sergei Pletnev, Adam S. Olia, Kai Xu, Baoshan Zhang, Reda Rawi, Tatsiana Bylund, Nicole A. Doria-Rose, Thuy Duong Nguyen, Ahmed S. Fahad, Myungjin Lee, Bob C. Lin, Tracy Liu, Mark K. Louder, Bharat Madan, Krisha McKee, Sijy O’Dell, Mallika Sastry, Arne Schön, Natalie Bui, Chen-Hsiang Shen, Jacy R. Wolfe, Gwo-Yu Chuang, John R. Mascola, Peter D. Kwong, Brandon J. DeKosky
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-17 (2023)
Abstract The HIV-1 fusion peptide (FP) represents a promising vaccine target, but global FP sequence diversity among circulating strains has limited anti-FP antibodies to ~60% neutralization breadth. Here we evolve the FP-targeting antibody VRC34.01
Externí odkaz:
https://doaj.org/article/e636e8ff307e4e158f7f9667c39522e1
Publikováno v:
Вестник Камчатской региональной ассоциации "Учебно-научный центр". Серия: Науки о Земле, Vol 59, Iss 3, Pp 67-86 (2023)
Five tectonic-magmatic stages are distinguished in the evolution of the guyots of the Magellan Seamounts: 1 — Late Jurassic-Early Cretaceous (earliest Cretaceous — ~160–140 (?) Ma); 2 — Early Cretaceous (Late Barremian(?)-Aptian-Albian — ~1
Externí odkaz:
https://doaj.org/article/eedbea79c72442808552414cbd76a01a
Autor:
Pletnev, Nikita
The work is devoted to the construction of efficient and applicable to real tasks first-order methods of convex optimization, that is, using only values of the target function and its derivatives. Construction uses OGM-G, fast gradient method which i
Externí odkaz:
http://arxiv.org/abs/2009.03971
Autor:
Rivera-Castro, Rodrigo, Pletnev, Aleksandr, Pilyugina, Polina, Diaz, Grecia, Nazarov, Ivan, Zhu, Wanyi, Burnaev, Evgeny
Publikováno v:
2019 IEEE International Conference on Data Science and Advanced Analytics (DSAA)
Topological Data Analysis (TDA) is a recent approach to analyze data sets from the perspective of their topological structure. Its use for time series data has been limited. In this work, a system developed for a leading provider of cloud computing c
Externí odkaz:
http://arxiv.org/abs/2009.03661
Time series prediction aims to predict future values to help stakeholders make proper strategic decisions. This problem is relevant in all industries and areas, ranging from financial data to demand to forecast. However, it remains challenging for pr
Externí odkaz:
http://arxiv.org/abs/2009.03474
Autor:
Rivera-Castro, Rodrigo, Nazarov, Ivan, Xiang, Yuke, Maksimov, Ivan, Pletnev, Aleksandr, Burnaev, Evgeny
Publikováno v:
2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)
Demand forecasting of hierarchical components is essential in manufacturing. However, its discussion in the machine-learning literature has been limited, and judgemental forecasts remain pervasive in the industry. Demand planners require easy-to-unde
Externí odkaz:
http://arxiv.org/abs/2009.03262