An Efficient Face Detection and Recognition System Using RVJA and SCNN
The basic process for an extensive range of security systems functioning in real‐time
applications is facial recognition. Considering several factors like lower resolution …
applications is facial recognition. Considering several factors like lower resolution …
Image processing applications via time-multiplexing cellular neural network simulator with numerical integration algorithms
V Murugesh - International Journal of Computer Mathematics, 2010 - Taylor & Francis
A novel approach to simulate cellular neural networks (CNN) is presented in this paper. The
approach, time-multiplexing simulation, is prompted by the need to simulate hardware …
approach, time-multiplexing simulation, is prompted by the need to simulate hardware …
Legendre Neural Network Method for Solving Nonlinear Singular Systems
M Veerasamy, SCB Jaganathan… - Intelligent …, 2023 - taylorfrancis.com
Legendre Neural Network Method was utilized in this research work to investigate time
invariant and time varying nonlinear singular systems. The researchers attained the results …
invariant and time varying nonlinear singular systems. The researchers attained the results …
[PDF][PDF] Implementation of legendre neural network to solve time-varying singular bilinear systems
Bilinear singular systems can be used in the investigation of different types of engineering
systems. In the past decade, considerable attention has been paid to analyzing and …
systems. In the past decade, considerable attention has been paid to analyzing and …
State analysis of time-varying singular bilinear systems by RK-butcher algorithms
Abstract The Runge-Kutta (RK)-Butcher algorithm is used to study the timevarying singular
bilinear systems with the exact solutions. The results (discrete solutions) obtained using the …
bilinear systems with the exact solutions. The results (discrete solutions) obtained using the …
Hole-Filler Cellular Neural Network Simulation by RKGHM (5, 5)
S Senthilkumar - Journal of Mathematical Imaging and Vision, 2012 - Springer
The construction of two novel integration algorithms are proposed by formulating Runge-
Kutta embedded techniques based on geometric mean (GM) coupled with contra-harmonic …
Kutta embedded techniques based on geometric mean (GM) coupled with contra-harmonic …
[PDF][PDF] Hole Filing IFCNN Simulation by Parallel RK (5, 6) Techniques
S Senthilkumar - International Journal of Computer Science and …, 2011 - academia.edu
This paper concentrates on employing different parallel RK (5, 6) techniques for hole-filing
via unique characteristics of improved fuzzy cellular neural network (IFCNN) simulation to …
via unique characteristics of improved fuzzy cellular neural network (IFCNN) simulation to …
[引用][C] Sine-Cosine-Taylor-Like Method for Hole-Filler ICNN Simulation
S Senthilkumar - … Journal of Computer Science Issues (IJCSI …, 2011 - search.proquest.com
Abstract Sine-Cosine-Taylor-Like method is employed to improve the performance of image
or handwritten character recognition under improved cellular non-linear network …
or handwritten character recognition under improved cellular non-linear network …