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Pharmaceutics
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September 28, 2024
Alternative Cancer Therapeutics: Unpatentable Compounds and Their Potential in Oncology
Dmitriy Ovcharenko, Dmitry Mukhin, Galina Ovcharenko
Scientific Reports
|
September 30, 2025
Metastability and teleconnection of atmospheric circulation via hidden Markov models and network modularity
Dmitry Mukhin, Roman Samoilov, Abdel Hannachi
Chaos (Woodbury, N.Y.)
|
December 1, 2022
Revealing recurrent regimes of mid-latitude atmospheric variability using novel machine learning method
Dmitry Mukhin, Abdel Hannachi, Tobias Braun, et al.
Scientific Reports
|
October 23, 2015
Principal nonlinear dynamical modes of climate variability
Dmitry Mukhin, Andrey Gavrilov, Alexander Feigin, et al.
Scientific Reports
|
May 16, 2019
Bayesian Data Analysis for Revealing Causes of the Middle Pleistocene Transition
Dmitry Mukhin, Andrey Gavrilov, Evgeny Loskutov, et al.
Chaos (Woodbury, N.Y.)
|
January 3, 2020
Bayesian framework for simulation of dynamical systems from multidimensional data using recurrent neural network
Aleksei Seleznev, Dmitry Mukhin, Andrey Gavrilov, et al.
Chaos (Woodbury, N.Y.)
|
February 1, 2023
Estimating predictability of a dynamical system from multiple samples of its evolution
Dmitry Mukhin, Sergey Kravtsov, Aleksei Seleznev, et al.
Chaos (Woodbury, N.Y.)
|
January 2, 2017
Method for reconstructing nonlinear modes with adaptive structure from multidimensional data
Andrey Gavrilov, Dmitry Mukhin, Evgeny Loskutov, et al.
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Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Pharmaceutics
|
September 28, 2024
Alternative Cancer Therapeutics: Unpatentable Compounds and Their Potential in Oncology
Dmitriy Ovcharenko, Dmitry Mukhin, Galina Ovcharenko
Scientific Reports
|
September 30, 2025
Metastability and teleconnection of atmospheric circulation via hidden Markov models and network modularity
Dmitry Mukhin, Roman Samoilov, Abdel Hannachi
Chaos (Woodbury, N.Y.)
|
December 1, 2022
Revealing recurrent regimes of mid-latitude atmospheric variability using novel machine learning method
Dmitry Mukhin, Abdel Hannachi, Tobias Braun, et al.
Scientific Reports
|
October 23, 2015
Principal nonlinear dynamical modes of climate variability
Dmitry Mukhin, Andrey Gavrilov, Alexander Feigin, et al.
Scientific Reports
|
May 16, 2019
Bayesian Data Analysis for Revealing Causes of the Middle Pleistocene Transition
Dmitry Mukhin, Andrey Gavrilov, Evgeny Loskutov, et al.
Chaos (Woodbury, N.Y.)
|
January 3, 2020
Bayesian framework for simulation of dynamical systems from multidimensional data using recurrent neural network
Aleksei Seleznev, Dmitry Mukhin, Andrey Gavrilov, et al.
Chaos (Woodbury, N.Y.)
|
February 1, 2023
Estimating predictability of a dynamical system from multiple samples of its evolution
Dmitry Mukhin, Sergey Kravtsov, Aleksei Seleznev, et al.
Chaos (Woodbury, N.Y.)
|
January 2, 2017
Method for reconstructing nonlinear modes with adaptive structure from multidimensional data
Andrey Gavrilov, Dmitry Mukhin, Evgeny Loskutov, et al.
Page
of 1