Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Sugeng, Kiki A."'
Publikováno v:
E3S Web of Conferences, Vol 501, p 02004 (2024)
The Graph Neural Network (GNN) is an advanced use of graph theory that is used to address complex network problems. The application of Graph Neural Networks allows the development of a network by the modification of weights associated with the vertic
Externí odkaz:
https://doaj.org/article/b34a90b2eb224ed38374841356c75375
Autor:
Paradise Fadila, Sugeng Kiki Ariyanti
Publikováno v:
ITM Web of Conferences, Vol 61, p 01002 (2024)
NTRU is a lattice-based public-key cryptosystem designed by Jeffrey Hoffstein, Jill Pipher, and Joseph H. Silverman in 1996. NTRU published on Algorithmic Number Theory Symposium (ANTS) in 1998. The ANTS’98 NTRU became the IEEE standard for public
Externí odkaz:
https://doaj.org/article/9ec6e533885f4cfebd3f6d4f485afeda
Publikováno v:
ITM Web of Conferences, Vol 61, p 01001 (2024)
Let G = (V,E) be a graph with a vertex set V and an edge set E of G, with order n. Modular irregular labeling of a graph G is an edge k-labeling φ:E → {1, 2,…,k} such that the modular weight of all vertices is all different. The modular weight i
Externí odkaz:
https://doaj.org/article/c26b041c94d24026b7d486f918b9d9bb
Autor:
Septyanto Fendy, Sugeng Kiki A.
Publikováno v:
Discussiones Mathematicae Graph Theory, Vol 42, Iss 4, Pp 1027-1039 (2022)
Under an edge coloring (not necessarily proper), a rainbow path is a path whose edge colors are all distinct. The d-local rainbow connection number lrcd(G) (respectively, d-local strong rainbow connection number lsrcd(G)) is the smallest number of co
Externí odkaz:
https://doaj.org/article/6b74c7d662474068a4da86a6116113ce
Publikováno v:
In Heliyon November 2022 8(11)
Publikováno v:
AIMS Mathematics (2473-6988); 2024, Vol. 9 Issue 8, p21177-21188, 12p
Publikováno v:
AIP Conference Proceedings; 2024, Vol. 3176 Issue 1, p1-12, 12p
Publikováno v:
In AKCE International Journal of Graphs and Combinatorics October 2018
Publikováno v:
Electronic Journal of Graph Theory & Applications; 2023, Vol. 11 Issue 2, p343-356, 14p
Publikováno v:
AIP Conference Proceedings; 2023, Vol. 2554 Issue 1, p1-7, 7p