Zobrazeno 1 - 10
of 32
pro vyhledávání: '"T. M. Rajalaxmi"'
Publikováno v:
Discrete Mathematics Letters, Vol 7, Pp 74-78 (2021)
Externí odkaz:
https://doaj.org/article/5ae23e9498bc41438f65e39cca0d80e2
Publikováno v:
Discrete Mathematics Letters, Vol 3, Pp 50-56 (2020)
Externí odkaz:
https://doaj.org/article/7a7c933910964832841d8a7c3a7d6825
Autor:
G. Kirithiga Nandini, R. Sundara Rajan, A. Arul Shantrinal, T. M. Rajalaxmi, Indra Rajasingh, Krishnan Balasubramanian
Publikováno v:
Symmetry, Vol 12, Iss 12, p 1992 (2020)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused the global pandemic, coronavirus disease-2019 (COVID-19) which has resulted in 60.4 million infections and 1.42 million deaths worldwide. Mathematical models as an integral part
Externí odkaz:
https://doaj.org/article/1d59863997be4c259e86f849a9289fb3
Publikováno v:
Algorithms and Discrete Applied Mathematics ISBN: 9783031252105
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0061196d4b74c3f98f9403cca47dad0
https://doi.org/10.1007/978-3-031-25211-2_31
https://doi.org/10.1007/978-3-031-25211-2_31
Publikováno v:
Journal of Discrete Mathematical Sciences and Cryptography. :1-23
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 40:11331-11340
Salient object detection plays a vital role in image processing applications like image retrieval, security and surveillance in authentic-time. In recent times, advances in deep neural network gained more attention in the automatic learning system fo
Autor:
T. M. Rajalaxmi, Indra Rajasingh, R. Sundara Rajan, K. Jagadeesh Kumar, Krishnan Balasubramanian, A. Arul Shantrinal
Publikováno v:
Journal of Mathematical Chemistry
The present study, which is a continuation of the previous paper, augments a recent work on the use of phylogenetic networks. We develop techniques to characterize the topology of various X-trees and binary trees of biological and phylogenetic intere
Publikováno v:
Journal of Graph Algorithms and Applications. 25:367-381
Publikováno v:
The Journal of Supercomputing. 77:4135-4150
Interconnection networks provide an effective mechanism for exchanging data between processors in a parallel computing system. One of the most efficient interconnection networks is the hypercube due to its structural regularity, potential for paralle
Publikováno v:
Discrete Applied Mathematics. 280:221-236
Graph embedding is an important technique that maps a guest graph into a host graph, usually an interconnection network. Many applications can be modeled as graph embedding. In architecture simulation, graph embedding has been known as a powerful too