R. Ponalagusamy

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 10

Top Topics

Coronary Artery

Mathematical Modeling

Top Venues

Appl. Math. Comput.

Int. J. Comput. Math.

Neural Comput. Appl.

Comput. Methods Programs Biomed.

Publications

R. Padma, R. Ponalagusamy, R. Tamil Selvi
Corrigendum to "Mathematical modeling of electro hydrodynamic non-Newtonian fluid flow through tapered arterial stenosis with periodic body acceleration and applied magnetic field" [Appl. Math. Comput. 362 (2019) 124453]]. Appl. Math. Comput. 471 (2024)
R. Ponalagusamy, Ramakrishna Manchi
A study on two-layered (K.L-Newtonian) model of blood flow in an artery with six types of mild stenoses. Appl. Math. Comput. 367 (2020)
R. Padma, R. Ponalagusamy, R. Tamil Selvi
Corrigendum to "Mathematical modeling of electro hydrodynamic non-Newtonian fluid flow through tapered arterial stenosis with periodic body acceleration and applied magnetic field" [Applied Mathematics and Computation, 362(2019) 124453]. Appl. Math. Comput. 373 (2020)
R. Ponalagusamy, S. Priyadharshini
A numerical model on pulsatile flow of magnetic nanoparticles as drug carrier suspended in Herschel-Bulkley fluid through an arterial stenosis under external magnetic field and body force. Int. J. Comput. Math. 96 (9) (2019)
S. Priyadharshini, R. Ponalagusamy
Mathematical modelling for pulsatile flow of Casson fluid along with magnetic nanoparticles in a stenosed artery under external magnetic field and body acceleration. Neural Comput. Appl. 31 (3) (2019)
R. Padma, R. Ponalagusamy, R. Tamil Selvi
Mathematical modeling of electro hydrodynamic non-Newtonian fluid flow through tapered arterial stenosis with periodic body acceleration and applied magnetic field. Appl. Math. Comput. 362 (2019)
R. Ponalagusamy, S. Priyadharshini
Pulsatile MHD flow of a Casson fluid through a porous bifurcated arterial stenosis under periodic body acceleration. Appl. Math. Comput. 333 (2018)
R. Ponalagusamy
Mathematical analysis of flow of non-Newtonian fluid due to metachronal beating of cilia in a tube and its physiological applications. Appl. Math. Comput. 337 (2018)
R. Ponalagusamy
Corrigendum to "A biomechanical approach to study the effect of body acceleration and slip velocity through stenotic artery" [Applied Mathematics and Computation, 261(2015) 148-155]. Appl. Math. Comput. 301 (2017)
R. Ponalagusamy, S. Priyadharshini
Nonlinear model on pulsatile flow of blood through a porous bifurcated arterial stenosis in the presence of magnetic field and periodic body acceleration. Comput. Methods Programs Biomed. 142 (2017)
Geetha Sivaraman, V. Lakshmana Gomathi Nayagam, R. Ponalagusamy
A complete ranking of incomplete interval information. Expert Syst. Appl. 41 (4) (2014)
R. Ponalagusamy, R. Tamil Selvi, A. K. Banerjee
Mathematical model of pulsatile flow of non-Newtonian fluid in tubes of varying cross-sections and its implications to blood flow. J. Frankl. Inst. 349 (5) (2012)
R. Ponalagusamy
Mathematical analysis on effect of non-Newtonian behavior of blood on optimal geometry of microvascular bifurcation system. J. Frankl. Inst. 349 (9) (2012)
R. Ponalagusamy, R. Tamil Selvi
A study on two-layered model (Casson-Newtonian) for blood flow through an arterial stenosis: Axially variable slip velocity at the wall. J. Frankl. Inst. 348 (9) (2011)
R. Ponalagusamy, S. Senthilkumar
Investigation on time-multiplexing cellular neural network simulation by RKAHeM(4, 4) technique. Int. J. Adv. Intell. Paradigms 3 (1) (2011)
B. S. E. Zoraida, Michael Arock, B. S. M. Ronald, R. Ponalagusamy
A novel generalized design methodology and realization of Boolean operations using DNA. Biosyst. 97 (3) (2009)
R. Ponalagusamy, S. Senthilkumar
A new fourth order embedded RKAHeM(4, 4) method with error control on single layer/raster cellular neural network. Signal Image Video Process. 3 (3) (2009)
R. Ponalagusamy, S. Senthilkumar
A new method of embedded fourth order with four stages to study raster CNN simulation. Int. J. Autom. Comput. 6 (3) (2009)
R. Ponalagusamy, S. Senthilkumar
A new fourth order embedded RKAHeM(4, 4) method with error control on multilayer raster cellular neural network. Signal Image Video Process. 3 (1) (2009)
B. S. E. Zoraida, Michael Arock, B. S. M. Ronald, R. Ponalagusamy
A Novel Generalized Model for Constructing Reusable and Reliable Logic Gates Using DNA. ICNC (7) (2008)
R. Ponalagusamy, S. Senthilkumar
Investigation on Multilayer Raster Cellular Neural Network by Arithmetic and Heronian Mean RKAHeM(4, 4). World Congress on Engineering (2007)
Michael Arock, R. Ponalagusamy
Parallel algorithms for robot path planning with simpler VLSI architecture. Int. J. Comput. Appl. Technol. 26 (3) (2006)