Results 81 to 90 of about 140,706 (235)
An enriched cryptosystem based Polybius cipher using graph labeling techniques [PDF]
B. Deepa, V. Uma Maheswari
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chia, Ma-Lian +4 more
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Heuristics based on greedy randomized adaptive search and variable neighbourhood search for the minimum labelling spanning tree problem [PDF]
This paper studies heuristics for the minimum labelling spanning tree (MLST) problem. The purpose is to find a spanning tree using edges that are as similar as possible.
Consoli, S +3 more
core
Few Long Lists for Edge Choosability of Planar Cubic Graphs [PDF]
It is known that every loopless cubic graph is 4-edge choosable. We prove the following strengthened result. Let G be a planar cubic graph having b cut-edges. There exists a set F of at most 5b/2 edges of G with the following property. For any function
Goddyn, Luis, Spencer, Andrea
core
New Algebraic Groups Produced By Graphical Passwords Based On Colorings And Labellings
Safety of plain text passwords has been questioned in current researching information passwords. Graphical passwords are another way for alternative text-based passwords and to improve the user account security.
Sun Hui +3 more
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Intuitionistic fuzzy labeling graphs
In this paper, some new connectivity concepts in intuitionistic fuzzy labeling graphs are defined. The concepts of strong arc, partial cut node, bridge and block are introduced. Also, intuitionistic fuzzy labeling tree is defined and investigated many interesting properties. Finally, partial intuitionistic fuzzy labeling tree is defined and established
SAHOO, S., PAL, M.
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Total Edge Irregularity Strength for Graphs
An edge irregular total $k$-labelling $f : V(G)\cup E(G)\rightarrow \{1,2,\dots,k\}$ of a graph $G$ is a labelling of the vertices and the edges of $G$ in such a way that any two different edges have distinct weights.
Irwansyah, M, Salman A. N.
core
Leveraging convolutional and graph networks for an unsupervised remote sensing labelling tool
Machine learning for remote sensing imaging relies on up-to-date and accurate labels for model training and testing. Labelling remote sensing imagery is time and cost intensive, requiring expert analysis.
Tulsi Patel +2 more
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Labelling the axes of graphs … [PDF]
Nature 316, 489 (1985). IN this Scientific Correspondence contribution, the third paragraph should begin: 'The example quoted above requires the observation that if "Radioactivity = 5 x 103 c.p.m." then "5 = (Radioactivity ? l(T3)/c.p.m." or "5 = 103 (Radioactivity/c.p.m.)" or "5 = Radioactivity/(C.p.
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Extensions of the minimum labelling spanning tree problem
In this paper we propose some extensions of the minimum labelling spanning tree problem. The main focus is on the minimum labelling Steiner tree problem: given a graph G with a color (label) assigned to each edge, and a subset Q of the nodes of G (basic
Raffaele Cerulli +2 more
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