Fruit category classification by fractional Fourier entropy with rotation angle vector grid and stacked sparse autoencoder
Author:
Affiliation:
1. School of Informatics University of Leicester Leicester UK
2. School of Computer Science and Technology Henan Polytechnic University Jiaozuo PR China
3. School of Computer Engineering KIIT Deemed to University Bhubaneswar India
Publisher
Wiley
Subject
Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12701
Reference36 articles.
1. Aok S. (2018).Fruit classification based on six layer convolutional neural network. Paper presented at the 23rd international conference on digital signal processing (DSP) Shanghai China.
2. Potential of Near-Infrared (NIR) Spectroscopy and Hyperspectral Imaging for Quality and Safety Assessment of Fruits: an Overview
3. Diagnosis of heart diseases by a secure Internet of Health Things system based on Autoencoder Deep Neural Network
4. Computer vision based fruit recognition and classification system;Gurucharan K.;International Journal of Future Generation Communication and Networking,2020
5. Automatic Fruit Classification Using Deep Learning for Industrial Applications
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