2022
DOI: 10.32604/cmc.2022.030927
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K-Banhatti Invariants Empowered Topological Investigation of Bridge Networks

Abstract: Any number that can be uniquely determined by a graph is called graph invariants. During the most recent twenty years' innumerable numerical graph invariants have been described and used for correlation analysis. In the fast and advanced environment of manufacturing of networks and other products which used different networks, no dependable assessment has been embraced to choose, how much these invariants are connected with a network graph or molecular graph. In this paper, it will talk about three distinct va… Show more

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Cited by 10 publications
(10 citation statements)
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“…This concept has been covered in a lot of published literature. The literature can be enhanced with cloud and machine learning areas [13][14][15][16][17]. There exist different related studies which are close to the current research work.…”
Section: Related Workmentioning
confidence: 55%
“…This concept has been covered in a lot of published literature. The literature can be enhanced with cloud and machine learning areas [13][14][15][16][17]. There exist different related studies which are close to the current research work.…”
Section: Related Workmentioning
confidence: 55%
“…The concerning results in the form of formulas will compare with existing results. These deduced results will apply to many other networks in the fields of computer networks, processor interconnection networks, power interconnection networks, parallel computing, PV cells, intelligent systems and puzzle games afterward [28]. The methodology diagram also shows the step-by-step flow of the study.…”
Section: Methodsmentioning
confidence: 79%
“…The paper goes on to describe existing practices in architecting ML-based software systems and highlights the future directions to develop improved approaches for architecting such systems . ) and has become a significant public health concern (Hamid, Aslam, et al, 2024). Castiglioni and his colleagues described the application of a deep learning model, specifically a convolutional neural network (CNN), to analyze chest X-ray images of patients suspected of having COVID-19.…”
Section: Software Architecture and Machine Learningmentioning
confidence: 99%