Zobrazeno 1 - 10
of 2 238
pro vyhledávání: '"Graph Clustering"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract With the exponential growth of mobile devices and data traffic, mobile edge computing has become a promising technology, and the placement of edge servers plays a key role in providing efficient and low-latency services. In this paper, we in
Externí odkaz:
https://doaj.org/article/1f8d6e72af5f4d8db0619c7b6009e9b6
Autor:
O. N. Karasik, A. A. Prihozhy
Publikováno v:
Sistemnyj Analiz i Prikladnaâ Informatika, Vol 0, Iss 2, Pp 4-10 (2024)
The problem of finding all shortest paths between vertices in a graph (APSP) has real-life applications in planning, communication, economics and many other areas. APSP problem can be solved using various algorithms, starting from Floyd-Warshall’s
Externí odkaz:
https://doaj.org/article/2d848650d157403996f4da45aadf6376
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-24 (2024)
Abstract Human mobility describes physical patterns of movement of people within a spatial system. Many of these patterns, including daily commuting, are cyclic and quantifiable. These patterns capture physical phenomena tied to processes studied in
Externí odkaz:
https://doaj.org/article/20532f7b91ff4417a976671ac4681618
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-15 (2024)
Abstract The performance of molecular docking can be improved by comparing the shape similarity of the flexibly sampled poses against the target proteins’ inverted binding cavities. The effectiveness of these pseudo-ligands or negative image-based
Externí odkaz:
https://doaj.org/article/3cd64d458d6d431f9c13a1b837e2cf8f
Autor:
Wenzhan Zhang, Ziyao Liu
Publikováno v:
Heliyon, Vol 10, Iss 21, Pp e38916- (2024)
In social networks, maximizing influence is an important research direction. However, traditional influence maximization algorithms often overlook the attribute information of nodes and the heterogeneity of networks, leading to inefficiency and inacc
Externí odkaz:
https://doaj.org/article/d9fff03099a4403f98c9fa19680cb6e0
Autor:
Ali Deeb, Mohamed Salem, Abdalrahman Ibrahim, Joachim Pichler, Sergii Tkachov, Karaj Anjeza, Fadi Al Machot, Kyandoghere Kyamakya
Publikováno v:
IEEE Access, Vol 12, Pp 29308-29344 (2024)
This paper addresses the issue of reliable and automated analog circuit’s structure recognition (ACSR). First, it presents a comprehensive critical review of the related state-of-the-art. Then, essentially, this study proposes and validates a novel
Externí odkaz:
https://doaj.org/article/09dc8848a68e4be5a2d564184d5180b5
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 3999-4014 (2024)
In this article, a novel infrared maritime small target detection method, called local dissimilarity measure with anti-interference based on global graph clustering (LDMGGC), is proposed. The Wasserstein distance is introduced to calculate the dissim
Externí odkaz:
https://doaj.org/article/75815c9eba9340b7ad4d24e5e12af6e2
Autor:
Yasuhiro Fujiwara, Yasutoshi Ida, Atsutoshi Kumagai, Masahiro Nakano, Akisato Kimura, Naonori Ueda
Publikováno v:
Data Science and Engineering, Vol 8, Iss 3, Pp 279-291 (2023)
Abstract Network representation learning is a de facto tool for graph analytics. The mainstream of the previous approaches is to factorize the proximity matrix between nodes. However, if n is the number of nodes, since the size of the proximity matri
Externí odkaz:
https://doaj.org/article/9f96328299044e299ef2c1e3deef884f
Publikováno v:
IEEE Access, Vol 11, Pp 122273-122294 (2023)
Graph clustering has attracted many interests in recent years, with numerous applications ranging from the clustering of computer networks to the detection of social communities. It presents a challenging NP-class problem, and as a result, numerous a
Externí odkaz:
https://doaj.org/article/ca0f96f6de354752973382707f2d9d0e
Autor:
Svejda, David Idzard
Publikováno v:
Svejda, David Idzard. Enabling Cluster Tracking for Community Detection in Temporal Networks. Master thesis, University of Oslo, 2024
Externí odkaz:
http://hdl.handle.net/10852/112466
