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Features of socio-economic development of the Republic of Tatarstan and conditions for the implementation of the investment and cluster policies of the region
Kvon G., Yakupova N., Fatykhova L., Levachkova S., Puris A.
for the realization of the investment and cluster policies of the region based on an analysis of the socio
Evaluation of availability of cluster distributed disaster tolerant systems for control and information processing based on a cluster quorum
Tsarev, R. Yu., Gruzenkin, D. V., Kovalev, I. V., Prokopenko, A. V., Knyazkov, A. N.
system cluster-based components failures were analyzed. The analysis made it possible to choose the best
Expanding Opportunities for Applying Biomedical Innovations in Regional Economy
Shishatskiy, Oleg N., Шишацкий, О.Н.
. The work analyzes the prerequisites for a regional innovative biomedical cluster creation and identifies
Analysis of the dynamics of endocrine pathology in the population on the intensively pesticized territory
Mirsaitova G., Minnullin D.
comparative analysis of the ESD incidence and the public health forming factors in Bugulminsky and Almetyevsky
Development of clusters in the spacerocket industry as the instrument of forming of the innovation economy
Nezhnikova E.V., Glyuzitskiy K.K.
, the most perspective clusters in the space-rocket industry come to light, comparative analysis of clusters
Schwartz value clusters in modern university students
Maslova O.V., Shlyakhta D.A., Yanitskiy M.S.
in the SVS иPVQ Schwartz's questionnaires. The sample was then treated with the K-means cluster analysis
MANAGEMENT OF INNOVATIVE DEVELOPMENT OF INDUSTRIAL CLUSTERS IN THE DIGITAL ECONOMY
Godin A.A.
the management of innovation in companies from the analysis of technological clusters using roadmapping and nine
Application of the K-prototype clustering algorithm in the analysis of page view data on mos.ru portal
Isakhanyan E.T., Salpagarov S.I.
of the site. To carry out such an analysis, the method of data clustering is chosen, specifically the K
Triplet Frequencies Implementation in Total Transcriptome Analysis
Садовский, Михаил Георгиевич, Гусева, Татьяна Александровна, Бирюков, Владислав Владимирович
abundant. On the contrary, the transcripts with high tissue specificity do not yield a reliable clustering
Classification of objects in grid computing
Антамошкин, О. А., Килочицкая, Т. Р., Тынченко, В. В., Тынченко, В. С., Бухтояров, Владимир Викторович
to the current values of characteristics, by reference values of characteristics, with an analysis

Страница 24 из 9200

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