Intelligent Systems and Photovoltaic Cells Empowered Topologically by Sudoku Networks
Source abstract
Abstract
A graph invariant is a number that can be easily and uniquely calculated through a graph. Recently, part of mathematical graph invariants has been portrayed and utilized for relationship examination. Nevertheless, no reliable appraisal has been embraced to pick, how much these invariants are associated with a network graph in interconnection networks of various fields of computer science, physics, and chemistry. In this paper, the study talks about sudoku networks will be networks of fractal nature having some applications in computer science like sudoku puzzle game, intelligent systems, Local area network (LAN) development and parallel processors interconnections, music composition creation, physics like power generation interconnections, Photovoltaic (PV) cells and chemistry, synthesis of chemical compounds. These networks are generally utilized in disorder, fractals, recursive groupings, and complex frameworks. Our outcomes are the normal speculations of currently accessible outcomes for specific classes of such kinds of networks of two unmistakable sorts with two invariants K-banhatti sombor (KBSO) invariants, Irregularity sombor (ISO) index, Contraharmonic-quadratic invariants (CQIs) and dharwad invariants with their reduced forms. The study solved the Sudoku network used in mentioned systems to improve the performance and find irregularities present in them. The calculated outcomes can be utilized for the modeling, scalability, introduction of new architectures of sudoku puzzle games, intelligent systems, PV cells, interconnection networks, chemical compounds, and extremely huge scope in very large-scale integrated circuits (VLSI) of processors.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: graph theory and CDMA systems · Graph Labeling and Dimension Problems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (28)
Show source-provided references
1. Computing irregularity measures for sudoku graph10.1080/09720529.2021.1895505 ↗
2. Graph theory in computer science—An overview
3. Computing connection-based topological indices of sudoku graphs10.1155/2022/4279702 ↗
4. Static and dynamic reconfiguration approaches for mitigation of partial shading influence in photovoltaic arrays10.1016/j.seta.2020.100738 ↗
5. Sudoku reconfiguration technique to enhance the maximum power under partial shading conditions in PV arrays
6. Some basic properties of Sombor indices10.30538/psrp-odam2021.0047 ↗
7. K-Banhatti sombor invariants of certain computer networks10.32604/cmc.2022.028406 ↗
8. Dharwad index10.29121/ijesrt.v10.i4.2021.2 ↗
9. Contraharmonic quadratic index of certain nanostar dendrimers
10. New irregularity sombor indices and new adriatic (a, b)-KA indices of certain chemical drugs10.14445/22315373/IJMTT-V67I9P512 ↗
11. Structure activity relationship (SAR) and quantitative structure activity relationship (QSAR) studies showed plant flavonoids as potential inhibitors of dengue NS2B-NS3 protease10.1186/s12900-018-0084-5 ↗
12. Quantitative structure-property relationships (QSPR) of valency based topological indices with COVID-19 drugs and application10.1016/j.arabjc.2021.103240 ↗
13. Quantitative structure-activity relationship (QSAR) models for color and COD removal for some dyes subjected to electrochemical oxidation10.1080/09593330.2022.2028014 ↗
14. QSPR analysis of KCD coindices for some chemical compounds
15. Topological characterizations and index-analysis of new degree-based descriptors of honeycomb networks10.3390/sym10100478 ↗
16. Computing topological indices of certain networks
17. Computation of irregularity indices of certain computer networks
18. Topological descriptors on some families of graphs10.1155/2021/6018893 ↗
19. CLR-DRNets: Curriculum learning with restarts to solve visual combinatorial games
20. A human centered approach to logic puzzles
21. Ontology-based semantic search framework for disparate datasets10.32604/iasc.2022.023063 ↗
22. S. Streicher, “Incremental inference on higher-order probabilistic graphical models applied to constraint satisfaction problems,” arXiv, vol. 1, no. 1, pp. 1296, 2022.
23. Modelling and simulation of AdDoKu based reconfiguration technique to harvest maximum power from photovoltaic array under partial shading conditions10.1016/j.simpat.2021.102447 ↗
24. Hyper sudoku-based solar photovoltaic array reconfiguration for maximum power enhancement under partial shading conditions
25. Comparative analysis of two-step GA-based PV array reconfiguration technique and other reconfiguration techniques10.1016/j.enconman.2020.113806 ↗
26. Usability evaluation of mobile banking applications in digital business as emerging economy
27. Detection of brain tumor from brain MRI images with the help of machine learning and deep learning
28. K-Banhatti invariants empowered topological investigation of bridge networks10.32604/cmc.2022.030927 ↗