Zobrazeno 1 - 10
of 38
pro vyhledávání: '"A. G. Dorrer"'
Publikováno v:
Открытое образование (Москва), Vol 22, Iss 2, Pp 37-44 (2018)
Purpose of study. In the Russian Federal State Educational Standards of higher education, the fundamental role is assigned to the need for students to acquire a set of competences in the process of training. The list of competences is given in the st
Externí odkaz:
https://doaj.org/article/b76006e98a6f49d18cac2d83098d4337
Publikováno v:
VII INTERNATIONAL CONFERENCE “SAFETY PROBLEMS OF CIVIL ENGINEERING CRITICAL INFRASTRUCTURES” (SPCECI2021).
Autor:
S. E. Golovenkin, M. G. Dorrer, S. Yu. Nikulina, Yu. V. Orlova, E. Yu. Pelipeckaya, T. D. Vereshchagina
Publikováno v:
VII INTERNATIONAL CONFERENCE “SAFETY PROBLEMS OF CIVIL ENGINEERING CRITICAL INFRASTRUCTURES” (SPCECI2021).
Autor:
Y. A. Lantsev, M. G. Dorrer
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 13, Iss 3, Pp 86-92 (2013)
A set-theoretic formalism of models describing for business processes in ARIS eEPC methodology and AnyLogic agent-based simulation models is proposed and developed. Translation method from model in eEPC notation into agent-based AnyLogic simulation m
Externí odkaz:
https://doaj.org/article/3faef8bdfb2f406dabcb8e2416dbfeb0
Autor:
M. G. Dorrer, V. V. Kurokhtin
Publikováno v:
Моделирование и анализ информационных систем, Vol 19, Iss 4, Pp 128-143 (2012)
The article describes a method of finding business process invariants basing on a given model in eEPC notation. The method uses an original translation process to build a Petri net corresponding to the source eEPC model, to find its invariants and to
Externí odkaz:
https://doaj.org/article/74142427c76f4b19ba745140c16b1228
Publikováno v:
PROCEEDINGS OF THE II INTERNATIONAL SCIENTIFIC CONFERENCE ON ADVANCES IN SCIENCE, ENGINEERING AND DIGITAL EDUCATION: (ASEDU-II 2021).
Publikováno v:
Journal of Physics: Conference Series. 2094:032037
The article solves the problem of creating models for predicting the course and complications of cardiovascular diseases. Artificial neural networks based on the Keras library are used. The original dataset includes 1700 case histories. In addition,
Publikováno v:
Journal of Physics: Conference Series. 1691:012071
The purpose of this work was to test the applicability of the methods for work networks based on the stochastic GERT networks analysing to the analysis and forecasting of the executing similar projects processes. The experimental object was the data
Autor:
M G Dorrer, A E Alekhina
Publikováno v:
Journal of Physics: Conference Series. 1889:022103
The authors propose to use the k-means method for semantic image segmentation in the artificial vision of a smart refrigerator. The authors have developed a new two-tier architecture for the semantic segmentation system. In the proposed architecture,
Autor:
M G Dorrer
Publikováno v:
Journal of Physics: Conference Series. 1679:032096
In this paper, we propose a solution to the problem of organizational management based on high-precision simulation models designed for numerical forecasting of the parameters of business process models - duration, labor intensity and resource intens