Zobrazeno 1 - 10
of 426
pro vyhledávání: '"M A Berman"'
Autor:
N. Yu. Mironov, Yu. A. Yuricheva, V. V. Vlodzyanovskiy, S. F. Sokolov, Kh. M. Dzaurova, S. P. Golitsyn, Yu. V. Shubik, M. V. Berman, M. M. Medvedev, A. E. Rivin, D. S. Parkhomchuk, A. E. Barybin, D. А. Balandin, R. E. Batalov, D. V. Terekhov, I. V. Evstifeev, I. R. Kildeev, O. V. Pyataeva, S. A. Zenin
Publikováno v:
Рациональная фармакотерапия в кардиологии, Vol 17, Iss 5, Pp 668-673 (2021)
Aim. We aimed to assess safety and effectiveness of class III antiarrhythmic drug Refralon for conversion of atrial fibrillation (AFib) and flutter (AFl) in post-registration trial and to compare data of primary center (National medical research cent
Externí odkaz:
https://doaj.org/article/fda3bc3bcec0409e89ef6af250af93a3
Autor:
N. Yu. Mironov, Yu. A. Yuricheva, V. V. Vlodzyanovskiy, S. F. Sokolov, Kh. M. Dzaurova, S. P. Golitsyn, Yu. V. Shubik, M. V. Berman, M. M. Medvedev, A. E. Rivin, D. S. Parkhomchuk, A. E. Barybin, D. А. Balandin, R. E. Batalov, D. S. Terekhov, I. V. Evstifeev, I. R. Kildeev, O. V. Pyataeva, S. A. Zenin
Publikováno v:
Рациональная фармакотерапия в кардиологии, Vol 17, Iss 2, Pp 193-199 (2021)
Aim. We aimed to assess safety and effectiveness of class III antiarrhythmic drug Refralon for conversion of atrial fibrillation (AFib) and flutter (AFl) in post-registration trial and to compare data of primary center (National medical research cent
Externí odkaz:
https://doaj.org/article/0f377f87549f4a628c7889891fa7039f
Publikováno v:
Journal of Arrhythmology. 29:1-8
We describe a clinical case of 37 y.o. woman with anteroseptal accessory pathway associated with left ventricular dyssynchrony and ejection fraction reduction. Wolff-Parkinson-White syndrome and phenomenon diagnostic criteria are discussed.
Publikováno v:
Swarm Intelligence. 16:143-168
Autor:
A. E. Rivin, M. V. Berman, O. V. Pyataeva, V. V. Vlodzyanovskiy, Yu. A. Yuricheva, I. V. Evstifeev, Sergey P. Golitsyn, Kh. M. Dzaurova, S. A. Zenin, M. M. Medvedev, D. S. Parkhomchuk, S. F. Sokolov, Yu. V. Shubik, R. E. Batalov, D. V. Terekhov, D. А. Balandin, A. E. Barybin, N. Yu. Mironov, I. R. Kildeev
Publikováno v:
Racionalʹnaâ Farmakoterapiâ v Kardiologii, Vol 17, Iss 5, Pp 668-673 (2021)
Aim.We aimed to assess safety and effectiveness of class III antiarrhythmic drug Refralon for conversion of atrial fibrillation (AFib) and flutter (AFl) in post-registration trial and to compare data of primary center (National medical research cente
Publikováno v:
Neurocomputing. 466:252-264
This paper empirically analyses the impact of changes to the set of training examples on the neural network error surface. Specific quantitative characteristics of the error surface related to properties such as ruggedness, modality and structure are
Publikováno v:
2022 IEEE Symposium Series on Computational Intelligence (SSCI).
Publikováno v:
Cognitive Psychophysiology: Event-Related Potentials and the Study of Cognition ISBN: 9781003318279
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aabe486369d328073cc97b67636496d7
https://doi.org/10.4324/9781003318279-13
https://doi.org/10.4324/9781003318279-13
Autor:
O. V. Pyataeva, V. V. Vlodzyanovskiy, Yu. A. Yuricheva, I. V. Evstifeev, D. А. Balandin, A. E. Rivin, I. R. Kildeev, D. S. Terekhov, A. E. Barybin, M. V. Berman, S. F. Sokolov, N. Yu. Mironov, D. S. Parkhomchuk, Sergey P. Golitsyn, R. E. Batalov, Yu. V. Shubik, S. A. Zenin, M. M. Medvedev, Kh. M. Dzaurova
Publikováno v:
Racionalʹnaâ Farmakoterapiâ v Kardiologii, Vol 17, Iss 2, Pp 193-199 (2021)
Aim.We aimed to assess safety and effectiveness of class III antiarrhythmic drug Refralon for conversion of atrial fibrillation (AFib) and flutter (AFl) in post-registration trial and to compare data of primary center (National medical research cente
An Analysis of Activation Function Saturation in Particle Swarm Optimization Trained Neural Networks
Publikováno v:
Neural Processing Letters. 52:1123-1153
The activation functions used in an artificial neural network define how nodes of the network respond to input, directly influence the shape of the error surface and play a role in the difficulty of the neural network training problem. Choice of acti