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Перегляд Искусственный интеллект за назвою

Репозиторій DSpace/Manakin

Перегляд Искусственный интеллект за назвою

Сортувати за: Порядок: Результатів:

  • Kotyra, A.; Wójcik, W.; Gromaszek, K. (Искусственный интеллект, 2013)
    The article presents the way of assessment of biomass coal mixture combustion using information in a form of flame area changes determined for image sequences. The images were captured by a dedicated visual system equipped ...
  • Маслій, Р.В.; Кулик, А.Я. (Штучний інтелект, 2011)
    У статті представлено boosting-метод виявлення облич фронтального вигляду на напівтонових зображеннях, який як прості класифікатори використовує ознаки з нового набору, отриманого шляхом поєднання локальних бінарних шаблонів ...
  • Hamal, Kh.V. (2008)
    The paper emphasizes the need of spatially distributed carbon dioxide (CO2) inventory using geoinformation system. It describes the available activity data on fuel combustion in Ukrainian statistics and proposes algorithms for ...
  • Małgorzata Plechawska (Штучний інтелект, 2010)
    The article presents a case study of Maldi-Tof (Matrix-Assisted Laser Desorption Ionization – Time Of Flight) data analysis and classification. Row mass spectrometry data are preprocessed and decomposed with Gaussian Mixture ...
  • Mironenko, L.P.; Petrenko, I.V.; Vlasenko, A.Yu. (Искусственный интеллект, 2013)
    The paper suggests three types of the necessary tests for the convergence of numerical series with positive terms. It is shown that these tests are consequences of the limit test of comparison with respect to the ...
  • Dudar, V.V.; Semenov, V.V. (Штучний інтелект, 2018)
    We introduce a new regularization technique column drop which uses inner structure of CNNs for classification to make its output invariant to random crops of input image. Use of this regularization eliminates need in data ...
  • Bazhenov, N.A. (Штучний інтелект, 2010)
    In this paper author describes a multi-layered NLP approach for the elicitation of ontology relevant information from free requirements text. To automate the requirements elicitation process from textual information of ...
  • Bui, D.B.; Ruban, N.N. (Штучний інтелект, 2016)
    Relational databases (DB) provide good support for data with a predetermined structure. But the latest trends in the IT sphere have shown that the tools for working with massive data (Big Data), which have different ...
  • Plechawska-Wójcik, M. (Штучний інтелект, 2011)
    The article presents a review of methods of MALDI-TOF data. There are many steps of mass spectrometry data analysis. It is complex task and it should cover several platforms. It is important to do comprehensive analysis ...
  • Murygin, K.V. (Искусственный интеллект, 2013)
    In article the algorithm of combination of the binary properties widely used in practice at system engineering of the automatic analysis of the visual information, in the form of the MKV-classifier is offered. Problems ...
  • Kotyra, A.; Wójcik, W.; Gromaszek, K. (Штучний інтелект, 2017)
    The article presents an approach to use some base frequency parameters of flickering such as the frequency having the largest amplitude (base frequency) and centroid of amplitude spectrum for characterization of different ...
  • Rybak, L.; Kiptyk, V. (2009)
    The article presents the results of the system research, determination and elaboration of cluster quantum medical intellectual nanorobots with cluster neurocomputer and superneurocomputer on the basis of laws of construction ...
  • Akinfiev, T.; Armada, M. (Штучний інтелект, 2010)
    In the present study vertical movements of resonance hopping robot of special construction with one leg and dual drive are considered. The construction of hopping robot with compensation of losses during flight of the robot ...
  • Antsyferov, S.S.; Rusanov, K.E. (Искусственный интеллект, 2014)
    The analytical relations allowing to obtain the approximate estimates of the time of decision in the successive processing algorithms of fuzzy information for different values of the probability of making right or ...
  • Novoselova, N.; Tom, I.; Ablameyko, S. (Штучний інтелект, 2011)
    This paper presents two novel approaches to evolutionary design of the classifier ensemble. The first one presents the task of one-objective optimization of feature set partitioning together with feature weighting for the ...
  • Lesiv, M.; Bun, R. (Штучний інтелект, 2010)
    Geoinformation technologies and methods of spatial analysis of emissions in the border regions have been developed and GIS based software has been created for estimating mass of carbon dioxide (CO2) emissions that goes ...
  • Lesiv, M.; Bun, R. (Штучний інтелект, 2011)
    The specificity of territorial distribution of the GHG emission sources has been analyzed for polish regions bordering Ukraine. Mathematical models and geoinformation technology for spatial analysis of GHG emissions in the ...
  • Sarycheva, L.; Sergieieva, K. (Искусственный интеллект, 2014)
    The methodic of city subway networks analysis on the basis of graph characteristics (centrality, connectivity and shape) is proposed. The subways characteristics were calculated from subways indexes (number of lines, ...
  • Krasnoproshin, V.V.; Mazovka, D.I. (Штучний інтелект, 2011)
    This paper describes one of the possible ways to the graphics pipeline automation. Introduced approach is based on specialized formal language called visualization algebra. We argue that proposed methodology can lower ...
  • Mironenko, L.P. (Искусственный интеллект, 2013)
    In the paper new representations for the functions cosⁿx and sinⁿx are obtained, which are effective for evaluation of many integrals, especially Kn=∫(x²+a²)⁻ⁿdx . It is found a primitive of the integral Kn in the explicit ...

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