[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 …
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 …
[HTML][HTML] 소셜미디어사진게시물의딥러닝을활용한도시공원이용자활동이미지분류모델개발
이주경， 손용훈 - Journal of the Korean Institute of Landscape …, 2022 - jkila.org
This study aims to create a basic model for classifying the activity photos that urban park
users shared on social media using Deep Learning through Artificial Intelligence. Regarding …
users shared on social media using Deep Learning through Artificial Intelligence. Regarding …
Hand Written Digit Recognition using Multilayer Deep Convolutional Neural Network
S Deepa, GD Praveenkumar… - … and Robotics (STCR …, 2023 - ieeexplore.ieee.org
In machine learning, handwritten digit recognition is usually seen as a multi-class
classification problems In this approach, the ten possible digits (0-9) are treated as …
classification problems In this approach, the ten possible digits (0-9) are treated as …