Utilizing Convolutional Neural Networks for Image Classification and Securing Mobility of People With Physical and Mental Disabilities in Cloud Systems

Utilizing Convolutional Neural Networks for Image Classification and Securing Mobility of People With Physical and Mental Disabilities in Cloud Systems

Image recognition is widely used for detecting human obstructions and identifying people with disabilities. The accuracy of identifying images of handicapped people is powered by image classification techniques that are based on deep learning methodologies. Specifically, convolutional neural network...

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Bibliographic Details
Main Authors:	Ismail Hababeh, Ibrahim Mahameed, Abdelhadi A. Abdelhadi, Ahmad Barghash
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Series:	IEEE Access
Subjects:	Deep learning image classification wide convolutional neural networks image feature maps securing image mobility MPLS header
Online Access:	https://ieeexplore.ieee.org/document/9183925/

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