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N.N. Goglev,S.A. Migalin,E.V. Kasatkina
Pág. 111 - 119
The use of artificial intelligence technologies and big data analysis in risk management makes it possible to reduce the burden on experts and reduce the influence of the human factor in risk assessment. These technologies are well studied and actively u...
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Bilal Bataineh
Clustering analysis is a significant technique in various fields, including unsupervised machine learning, data mining, pattern recognition, and image analysis. Many clustering algorithms are currently used, but almost all of them encounter various chall...
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Petro Lizunov,Andrii Biloshchytskyi,Alexander Kuchansky,Yurii Andrashko,Svitlana Biloshchytska
Pág. 21 - 28
The study considers the possibilities of using latent semantic analysis for the tasks of identifying scientific subject spaces and evaluating the completeness of covering the results of dissertation research by science degree seekers.A probabilistic them...
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Alla Slavinska,Oksana Syrotenko,Oksana Dombrovska,Victoriia Mytsa
Pág. 52 - 61
The reported research into the influence of a database on the processes of universal design formation has established a mechanism for the interactive application of clusters of size-based attributes. It has been proven that the typological series of a st...
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Rodrigo L. Rose, Tejas G. Puranik and Dimitri N. Mavris
The complexity of commercial aviation operations has grown substantially in recent years, together with a diversification of techniques for collecting and analyzing flight data. As a result, data-driven frameworks for enhancing flight safety have grown i...
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