Main directions of scientific research of the V.M. Glushkov Institute of Cybernetics are as follows: - the development of a general theory and methods of systems analysis, mathematical modeling, optimization, and artificial intelligence; - the development of a general theory of control and methods and means for the construction of intelligent control systems of different levels and destinations; - the development of new information technologies and intelligent systems.
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Cerebrovascular Patients Data for Prognosis — collection of anonymized data about patients in the cardiology department
Jul 20, 2026
Denkov, Ivan, 2026, "Cerebrovascular Patients Data for Prognosis — collection of anonymized data about patients in the cardiology department", https://doi.org/10.48788/DVUA/VHVDAJ, DataverseUA, V1
The dataset includes data from 9544 patients of the cardiology department, obtained from a depersonalized fragment of the Aesculap patient visit database. Each patient's data is represented as a sparse binary 1436-dimensional vector. 1 more dimension is added to each vector - the...
Solutions to the symmetric traveling salesman problem for 1354 locations in the Kyiv region: Concorde solver
Solutions to the symmetric traveling salesman problem for 1354 locations in the Kyiv region: Concorde solver
Dec 13, 2025
Anisa, Kasim; Alexandr, Palagin; Petro, Stetsyuk; Olha, Khomiak, 2025, "Solutions to the symmetric traveling salesman problem for 1354 locations in the Kyiv region: Concorde solver", https://doi.org/10.48788/DVUA/7P2OE6, DataverseUA, V1, UNF:6:LkepojHDzM92QCMow9MEvg== [fileUNF]
The dataset includes geographic and Euclidean coordinates of 1354 locations in Kyiv region (including Kyiv city) and contains both input and output data for solving the symmetric traveling salesman problem (STSP) using Euclidean (L2) and Manhattan (L1) metrics. The dataset is int...
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