Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Babak Anari"'
Publikováno v:
Journal of Cardiovascular and Thoracic Research, Vol 15, Iss 4, Pp 204-209 (2023)
Screening and early detection of cardiovascular disease (CVD) are crucial for managing progress and preventing related morbidity. In recent years, several studies have reported the important role of Artificial intelligence (AI) technology and its int
Externí odkaz:
https://doaj.org/article/6d266907f04c47fb853f0530d44cc0b7
Publikováno v:
Computing. 104:21-42
Community detection is regarded as a significant research domain in social network analysis. Thanks to its merits, including linear-time complexity, performance and simplicity, the label propagation algorithm (LPA) has attracted a lot of researchers
Publikováno v:
Applied Soft Computing. 51:253-265
Most of the proposed algorithms to solve the dynamic clustering problem are based on nature inspired meta-heuristic algorithms. In this paper a different reinforcement based optimization approach called continuous action-set learning automata (CALA)
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 35:2159026
Transactions in web data are huge amounts of data, often consisting of fuzzy and quantitative values. Mining fuzzy association rules can help discover interesting relationships between web data. The quality of these rules depends on membership functi
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 563:125420
Community detection aims to discover and reveal community structures in complex networks. Some community detection method is called local methods that only apply local information in discovering steps. Local community detection methods are actually a
Publikováno v:
Expert Systems. 35:e12310
Publikováno v:
MEDES
The main goal of web pages ranking is to find the interrelated pages. In this paper, we introduce an algorithm called FPR-DLA. In the proposed method learning automata is assigned to each web page which its function is determining the weight of hyper