Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)

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Computing VL Status Index of Composite Graphs

Authors
A. S. Maragadam1, *, Suvarna1, V. Lokesha1, Nirupadi K.2, I. H. Agustin3
1Department of Studies in Mathematics, Vijayanagara Sri Krishnadevaraya University, Ballari, India
2Department of Studies in Mathematics, Ballari Institute of Technology and Management, Ballari, India
3Department of Studies in Mathematics, Universitas Jember, Jember, Indonesia
*Corresponding author. Email: maragadamvijay@gmail.com
Corresponding Author
A. S. Maragadam
Available Online 29 June 2024.
DOI
10.2991/978-94-6463-445-7_5How to use a DOI?
Keywords
Status index; Degree; Distance; Connected graph; Topological coindices
Abstract

In this study, we delve into the versatile application of the Neighborhood M-Polynomial (NM) in predicting a wide array of material characteristics. Our research investigates the capability of the neighborhood M-polynomial to discern neighborhood degree sum-based topological indices when analyzing synthetic polymers. These indices serve as pivotal tools, enabling us to accurately predict the diverse physical, chemical, and biological properties inherent in the materials under scrutiny.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)
Series
Advances in Intelligent Systems Research
Publication Date
29 June 2024
ISBN
10.2991/978-94-6463-445-7_5
ISSN
1951-6851
DOI
10.2991/978-94-6463-445-7_5How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - A. S. Maragadam
AU  - Suvarna
AU  - V. Lokesha
AU  - Nirupadi K.
AU  - I. H. Agustin
PY  - 2024
DA  - 2024/06/29
TI  - Computing VL Status Index of Composite Graphs
BT  - Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)
PB  - Atlantis Press
SP  - 32
EP  - 42
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-445-7_5
DO  - 10.2991/978-94-6463-445-7_5
ID  - Maragadam2024
ER  -