Zobrazeno 1 - 10
of 250
pro vyhledávání: '"A. A. Akhiyarov"'
Deep reinforcement learning has successfully been applied for molecular discovery as shown by the Molecule Deep Q-network (MolDQN) algorithm. This algorithm has challenges when applied to optimizing new molecules: training such a model is limited in
Externí odkaz:
http://arxiv.org/abs/2312.01267
Machine learning and especially deep learning has had an increasing impact on molecule and materials design. In particular, given the growing access to an abundance of high-quality small molecule data for generative modeling for drug design, results
Externí odkaz:
http://arxiv.org/abs/2311.06297
Autor:
Zaman, Shehtab, Ferguson, Ethan, Pereira, Cecile, Akhiyarov, Denis, Araya-Polo, Mauricio, Chiu, Kenneth
From AlexNet to Inception, autoencoders to diffusion models, the development of novel and powerful deep learning models and learning algorithms has proceeded at breakneck speeds. In part, we believe that rapid iteration of model architecture and lear
Externí odkaz:
http://arxiv.org/abs/2211.08506
Autor:
Ostakhov, S. S.1 (AUTHOR), Kayumova, R. R.1 (AUTHOR), Akhiyarov, A. A.1 (AUTHOR), Ivanov, S. P.1 (AUTHOR), Khursan, S. L.1 (AUTHOR) khursansl@anrb.ru
Publikováno v:
High Energy Chemistry. Feb2023, Vol. 57 Issue 1, p1-6. 6p.
Autor:
Ivanov, Sergey P., Ostakhov, Sergei S., Abdrakhimova, Gulnaz S., Akhiyarov, Aidar A., Khursan, Sergey L.
Publikováno v:
In Biophysical Chemistry November 2020 266
Autor:
Beisenov Arman Z., Svyatko Svetlana V., Duysenbay Daniyar B., Akhiyarov Islam K., Paula J. Reimer
Publikováno v:
Поволжская археология, Vol 3, Iss 33, Pp 208-218 (2020)
This paper presents the results of stable isotope analysis of the Saka period population of Central Kazakhstan. The analysed materials originate from 37 sites of the Tasmola Culture which is presently dated to the 8th – 5th c. BC. The sample includ
Externí odkaz:
https://doaj.org/article/be848cee4f08429283f738c91ce574e7
Autor:
Kuznetsov, I. Yu.1 kuznetsov_i1@rambler.ru, Alimgafarov, R. R.1, Akhiyarov, B. G.1, Safin, F. F.1, Nafikova, A. R.1
Publikováno v:
Agronomy Research. 2020, Vol. 18 Issue 1, p163-176. 14p.
Publikováno v:
AIMS Agriculture and Food, Vol 4, Iss 3, Pp 604-612 (2019)
This study (2016–2017) was conducted to identify highly productive maize hybrids for the conditions of the Bashkortostan Republic. Maize growth, yield and grain quality was examined on different hybrids that gave 3.79–5.55 t/ha of maize. Nur and
Externí odkaz:
https://doaj.org/article/33ac6fbae8454412942ae2665976d649
Publikováno v:
Applied and Environmental Soil Science, Vol 2021 (2021)
Maize takes the leading place in yield and is one of the most common crops in the world. Selection of the optimal seeding application rate and time is among the central issues in maize cultivation technology and is highly relevant. The research made
Externí odkaz:
https://doaj.org/article/b92bf6b23c6145afb60b341f3be1636f
Publikováno v:
High Energy Chemistry. 57:1-6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fee3162455a14f1a22ac2165ef7ac8a5
https://doi.org/10.1134/s0018143923010101
https://doi.org/10.1134/s0018143923010101