Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dmitry S. Kozlov"'
Autor:
Anton A. Plekhanov, Dmitry S. Kozlov, Anastasia A. Shepeleva, Elena B. Kiseleva, Liubov E. Shimolina, Irina N. Druzhkova, Maria A. Plekhanova, Maria M. Karabut, Ekaterina V. Gubarkova, Alena I. Gavrina, Dmitry P. Krylov, Alexander A. Sovetsky, Sergey V. Gamayunov, Daria S. Kuznetsova, Vladimir Y. Zaitsev, Marina A. Sirotkina, Natalia D. Gladkova
Publikováno v:
International Journal of Molecular Sciences, Vol 25, Iss 10, p 5337 (2024)
The presence of molecular mutations in colorectal cancer (CRC) is a decisive factor in selecting the most effective first-line therapy. However, molecular analysis is routinely performed only in a limited number of patients with remote metastases. We
Externí odkaz:
https://doaj.org/article/4e5438dcc5494558b1fc7905c92ce6f6
Autor:
Dmitry S. Kozlov, Yury V. Tiumentsev
Publikováno v:
BICA
A simulation problem is discussed for nonlinear controlled dynamical systems represented by differential-algebraic equations of index 2. The problem is proposed to be solved in the framework of a neural network based semi-empirical approach combining
Autor:
Yury V. Tiumentsev, Dmitry S. Kozlov
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030304249
We consider a problem of mathematical modeling and computer simulation of nonlinear controlled dynamical systems represented by differential-algebraic equations of index 2. The solution of the problem is proposed within the framework of a neural netw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e37627ac31177bd01a59ab055c4defb
https://doi.org/10.1007/978-3-030-30425-6_39
https://doi.org/10.1007/978-3-030-30425-6_39
Autor:
Yury V. Tiumentsev, Dmitry S. Kozlov
Publikováno v:
Advances in Neural Computation, Machine Learning, and Cognitive Research II ISBN: 9783030013271
We consider the problem of mathematical modeling and computer simulation of nonlinear controlled dynamical systems represented by differential-algebraic equations of index 1. The problem is proposed to be solved in the framework of a neural network b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c5f76c7649b0aab00afb50169a6ff77
https://doi.org/10.1007/978-3-030-01328-8_22
https://doi.org/10.1007/978-3-030-01328-8_22