Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Sankaran Vaidyanathan"'
Autor:
Tarun Kumar, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Srinivasan Parthasarathy, Balaraman Ravindran
Publikováno v:
Applied Network Science, Vol 5, Iss 1, Pp 1-22 (2020)
Abstract Learning on graphs is a subject of great interest due to the abundance of relational data from real-world systems. Many of these systems involve higher-order interactions (super-dyadic) rather than mere pairwise (dyadic) relationships; examp
Externí odkaz:
https://doaj.org/article/20de1f833ff34c0698f3075616408147
Publikováno v:
In Combustion and Flame June 2018 192:149-159
Publikováno v:
In Combustion and Flame November 2015 162(11):4313-4330
Publikováno v:
In Combustion and Flame September 2015 162(9):3394-3411
Publikováno v:
In Proceedings of the Combustion Institute 2009 32(1):1571-1578
Autor:
Drozda, Tomasz G., Wang, Guanghua, Sankaran, Vaidyanathan, Mayo, Jackson R., Oefelein, Joseph C., Barlow, Robert S.
Publikováno v:
In Combustion and Flame 2008 155(1):54-69
Autor:
Srinivasan Parthasarathy, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Balaraman Ravindran, Tarun Kumar
Publikováno v:
Applied Network Science, Vol 5, Iss 1, Pp 1-22 (2020)
Learning on graphs is a subject of great interest due to the abundance of relational data from real-world systems. Many of these systems involve higher-order interactions (super-dyadic) rather than mere pairwise (dyadic) relationships; examples of th
Publikováno v:
In Proceedings of the Combustion Institute 2007 31(2):2291-2299
Autor:
Sankaran, Vaidyanathan
A generic formulation for modeling the sub-grid combustion in compressible, high Reynolds number, two-phase, reacting flows has been developed and validated. A sub-grid mixing/combustion model called Linear Eddy Mixing (LEM) model has been extended t
Externí odkaz:
http://hdl.handle.net/1853/5274
Autor:
Balaraman Ravindran, Srinivasan Parthasarathy, Sankaran Vaidyanathan, Harini Ananthapadmanabhan, Tarun Kumar
Publikováno v:
Complex Networks and Their Applications VIII ISBN: 9783030366865
COMPLEX NETWORKS (1)
COMPLEX NETWORKS (1)
Many real-world systems consist of entities that exhibit complex group interactions rather than simple pairwise relationships; such multi-way relations are more suitably modeled using hypergraphs. In this work, we generalize the framework of modulari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4e2d5160e968c12f830c7cc9c799c22
https://doi.org/10.1007/978-3-030-36687-2_24
https://doi.org/10.1007/978-3-030-36687-2_24