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A study of comparative clustering of EU countries using the DBSCAN and k-means techniques within the theoretical framework of systemic geopolitical analysis., , и . Int. J. Grid Util. Comput., 8 (2): 94-108 (2017)Enhancing the 5G V2X reliability using turbo coding for short frames., , , , и . Int. J. Grid Util. Comput., 14 (5): 455-468 (2023)Distributed and multi-core version of k-means algorithm., , и . Int. J. Grid Util. Comput., 10 (3): 283-291 (2019)An Application of an Intelligent Data Warehouse for Modelling Spatiotemporal Objects., , и . Int. J. Big Data Intell. Appl., 1 (1): 36-57 (2020)Integrated Video and Acoustic Emission Data Fusion for Intelligent Decision Making in Material Surface Inspection System., , , , , , и . Sensors, 22 (21): 8554 (2022)Quantum Serious Games to Boost Quantum Literacy within Computational Thinking 2.0 Framework., , , , , и . EDUCON, стр. 1-9. IEEE, (2023)The Weighted Tardiness as Objective Function of a RNN Model for the Job Scheduling Problem., , и . EMS, стр. 15-20. IEEE, (2012)Clustering EU's Countries According to I. Th. Mazi's Systemic Geopolitical Theory Using K-Means and MPI., , и . WETICE, стр. 78-83. IEEE Computer Society, (2015)Combining Distributed and Multi-core Programming Techniques to Increase the Performance of K-Means Algorithm., и . WETICE, стр. 95-100. IEEE Computer Society, (2017)A Data Warehouse Approach for Business Intelligence., , , и . WETICE, стр. 70-75. IEEE, (2019)