Trilateral Filterative Hermitian feature transformed deep perceptive fuzzy neural network for finger vein verification
D Muthusamy, P Rakkimuthu - Expert Systems with Applications, 2022 - Elsevier
Automated person recognition is an essential field to preserve individual privacy in
biometrics. A conventional system performs the recognition, but inaccurate detection of …
biometrics. A conventional system performs the recognition, but inaccurate detection of …
Steepest deep bipolar cascade correlation for finger-vein verification
D Muthusamy, P Rakkimuthu - Applied Intelligence, 2022 - Springer
Finger-vein verification is a considerable problem to be addressed in a biometric system. A
lot of research works have been intended for finger-vein authentication with aid of diverse …
lot of research works have been intended for finger-vein authentication with aid of diverse …
[HTML][HTML] Regularized anisotropic filtered tanimoto indexive deep multilayer perceptive neural network learning for effective image classification
GD Praveenkumar, R Nagaraj - Neuroscience Informatics, 2022 - Elsevier
Image classification is a significant way in the field of image processing to automatically
categorize large numbers of images. Brain tumor classification is mainly a helpful and widely …
categorize large numbers of images. Brain tumor classification is mainly a helpful and widely …
Feature Sampling based on Multilayer Perceptive Neural Network for image quality assessment
D Muthusamy, S Sathyamoorthy - Engineering Applications of Artificial …, 2023 - Elsevier
Image quality assessment (IQA) has a vital issue in image processing to measure the
perceptual quality of the image. This aims at the human visual system (HVS) by viewing for …
perceptual quality of the image. This aims at the human visual system (HVS) by viewing for …
intelligent adaptive Anisotropic Diffusion filtered Deep Neural Network with Gaussian Activation For Image Classification
GD Praveenkumar, R Nagaraj - 2022 6th International …, 2022 - ieeexplore.ieee.org
This paper presents a novel adaptive anisotropic diffusion filtered deep neural network
(AADF-DNN) model for achieving effective image classification with increase the accuracy …
(AADF-DNN) model for achieving effective image classification with increase the accuracy …
Machine Transfer Learning Deep Softmax Regression Neural Network for Image Classification
GD Praveenkumar, D Muthusamy - Inventive Communication and …, 2022 - Springer
Image classification is a major topic in image processing. Conventional algorithm had the
major drawback of vanishing gradient problem with stochastic descent algorithm; to …
major drawback of vanishing gradient problem with stochastic descent algorithm; to …
[PDF][PDF] Deep Convolutional Neural Network Based Extreme Learning Machine Image Classification
GD Praveenkumar, R Nagaraj - International Journal of Scientific …, 2021 - academia.edu
In this paper, we introduce a new deep convolutional neural network based extreme
learning machine model for the classification task in order to improve the network's …
learning machine model for the classification task in order to improve the network's …
Meta-Heuristics–Fireflies Correlated Algorithm for Optimized Routing in Manets
M Ilango, AV Senthil Kumar, B Kumar - Inventive Communication and …, 2022 - Springer
The transmission of data from a source to a destination node is examined in this article.
Existing binomial logistic regression (BLR-OR) routing algorithm is employed to effectively …
Existing binomial logistic regression (BLR-OR) routing algorithm is employed to effectively …
[引用][C] Recurrent cascade neural network for image classification
GD Praveenkumar, M Dharmalingam - Int. J. Sci. Technol. Res, 2019