51 to 60 of 69 Results
Aug 13, 2026 -
ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
ZIP Archive - 89.9 MB -
MD5: bd55a9f8c0203455d20c04b5134f5a9b
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Aug 13, 2026 -
ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
ZIP Archive - 7.6 MB -
MD5: ce32f5fbf596d2f29651523e6226afff
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Aug 13, 2026 -
ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
Plain Text - 102 B -
MD5: 138bfead709a6051069d92f5b9d00cc4
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Jul 21, 2026
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, V2, 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... |
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... |
Jul 20, 2026 -
Cerebrovascular Patients Data for Prognosis — collection of anonymized data about patients in the cardiology department
Plain Text - 3.6 KB -
MD5: c81150022f0e944c521536f8a4d98299
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Jul 20, 2026 -
Cerebrovascular Patients Data for Prognosis — collection of anonymized data about patients in the cardiology department
Comma Separated Values - 26.2 MB -
MD5: 122e605b122207e39a06ec903d00a789
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Dec 13, 2025 -
Solutions to the symmetric traveling salesman problem for 1354 locations in the Kyiv region: Concorde solver
Tabular Data - 73.8 KB - 5 Variables, 1354 Observations - UNF:6:LkepojHDzM92QCMow9MEvg==
Geographic (latitude, longitude) and Euclidean (X, Y) coordinates of 1354 locations in Kyiv region with their numbers and alphabetically ordered names. |
Dec 13, 2025 -
Solutions to the symmetric traveling salesman problem for 1354 locations in the Kyiv region: Concorde solver
Plain Text - 19.0 KB -
MD5: 59148db7535d8981e8ba37537feab89b
Approximate route for L1-metric obtained by the LK algorithm. Intended for comparison with the exact solution. |
Dec 13, 2025 -
Solutions to the symmetric traveling salesman problem for 1354 locations in the Kyiv region: Concorde solver
Plain Text - 19.0 KB -
MD5: 2aabdfae9d18760417a354f999b50e7d
The result of the heuristic solution of the problem for the L2 metric using the Lin-Kernighan (LK) algorithm. The route representation format is the same as in the optimal tour file. |