Zobrazeno 1 - 10
of 303
pro vyhledávání: '"Kuznetsov Boris"'
Autor:
Rumyantsev Denis Evgenievich, Kuznetsov Boris Aleksandrovich, Novoselov Vyacheslav Vitalievich, Melikhova Maria Alekseevna
Publikováno v:
Hortus Botanicus, Vol 16, Iss 1 (2021)
The article presents the results of studies of radial growth variability and dynamics of in a number of old-growth oak and elm trees, growing in Moscow and recognized as natural monuments within the framework of the Federal target Program "Trees monu
Externí odkaz:
https://doaj.org/article/33324db56f2948418b7754fc5c4d1b2a
Publikováno v:
Main Group Metal Chemistry, Vol 42, Iss 1, Pp 67-72 (2019)
This article focuses on the aqueous complexation between two flavonoids (morin and morinsulfonate) and Pb2+ at constant ionic strength I=0.5 M (NaClO4). The determination of stability constants of ML complexes were performed at wide pH range. Two obt
Externí odkaz:
https://doaj.org/article/c40c68a18dc24eb8bb0d93b85d000108
We open up the black box behind Deep Learning for portfolio optimization and prove that a sufficiently wide and arbitrarily deep neural network (DNN) trained to maximize the Sharpe ratio of the Stochastic Discount Factor (SDF) is equivalent to a larg
Externí odkaz:
http://arxiv.org/abs/2402.06635
Autor:
Parker, Julian D., Spijkervet, Janne, Kosta, Katerina, Yesiler, Furkan, Kuznetsov, Boris, Wang, Ju-Chiang, Avent, Matt, Chen, Jitong, Le, Duc
End-to-end generation of musical audio using deep learning techniques has seen an explosion of activity recently. However, most models concentrate on generating fully mixed music in response to abstract conditioning information. In this work, we pres
Externí odkaz:
http://arxiv.org/abs/2312.08723
Publikováno v:
E3S Web of Conferences, Vol 263, p 05017 (2021)
The purpose of the study is to analyze the tools that exist today to improve the competitiveness of companies in the Russian construction and repair services market, which promote their progressive development from the perspective of partnership mana
Externí odkaz:
https://doaj.org/article/fec3658588f4412e8956746e2fc9a4c4
Publikováno v:
SHS Web of Conferences, Vol 112, p 00047 (2021)
The safety of trains is the basis of the efficient operation of the railway transport system, the optimal organization of passengers and cargo transportation. All organizational and technical activities in railway transport must meet the requirements
Externí odkaz:
https://doaj.org/article/33bee7909c3944c09aaef45206b48542
Publikováno v:
SHS Web of Conferences, Vol 112, p 00049 (2021)
Railway transport has its characteristic features: a specific investment structure, its relatively high capital intensity and duration of implementation of innovative projects, technological continuity of the production process, and much more. The sp
Externí odkaz:
https://doaj.org/article/ec30a84ccd474de0917c79dccae22162
Construction progress monitoring (CPM) is essential for effective project management, ensuring on-time and on-budget delivery. Traditional CPM methods often rely on manual inspection and reporting, which are time-consuming and prone to errors. This p
Externí odkaz:
http://arxiv.org/abs/2305.15097
Publikováno v:
In Industrial Crops & Products May 2023 195
Autor:
Petrov, Dmitry, Kuznetsov, Boris A. Gutman Egor, van Erp, Theo G. M., Turner, Jessica A., Schmaal, Lianne, Veltman, Dick, Wang, Lei, Alpert, Kathryn, Isaev, Dmitry, Zavaliangos-Petropulu, Artemis, Ching, Christopher R. K., Calhoun, Vince, Glahn, David, Satterthwaite, Theodore D., Andreassen, Ole Andreas, Borgwardt, Stefan, Howells, Fleur, Groenewold, Nynke, Voineskos, Aristotle, Radua, Joaquim, Potkin, Steven G., Crespo-Facorro, Benedicto, Tordesillas-Gutierrez, Diana, Shen, Li, Lebedeva, Irina, Spalletta, Gianfranco, Donohoe, Gary, Kochunov, Peter, Rosa, Pedro G. P., James, Anthony, Dannlowski, Udo, Baune, Bernhard T., Aleman, Andre, Gotlib, Ian H., Walter, Henrik, Walter, Martin, Soares, Jair C., Ehrlich, Stefan, Gur, Ruben C., Doan, N. Trung, Agartz, Ingrid, Westlye, Lars T., Harrisberger, Fabienne, Riecher-Rossler, Anita, Uhlmann, Anne, Stein, Dan J., Dickie, Erin W., Pomarol-Clotet, Edith, Fuentes-Claramonte, Paola, Canales-Rodriguez, Erick Jorge, Salvador, Raymond, Huang, Alexander J., Roiz-Santianez, Roberto, Cong, Shan, Tomyshev, Alexander, Piras, Fabrizio, Vecchio, Daniela, Banaj, Nerisa, Ciullo, Valentina, Hong, Elliot, Busatto, Geraldo, Zanetti, Marcus V., Serpa, Mauricio H., Cervenka, Simon, Kelly, Sinead, Grotegerd, Dominik, Sacchet, Matthew D., Veer, Ilya M., Li, Meng, Wu, Mon-Ju, Irungu, Benson, Walton, Esther, Thompson, Paul M.
We present several deep learning models for assessing the morphometric fidelity of deep grey matter region models extracted from brain MRI. We test three different convolutional neural net architectures (VGGNet, ResNet and Inception) over 2D maps of
Externí odkaz:
http://arxiv.org/abs/1808.10315