Fruit category classification by fractional Fourier entropy with rotation angle vector grid and stacked sparse autoencoder-Reference-Cited by-同舟云学术

Fruit category classification by fractional Fourier entropy with rotation angle vector grid and stacked sparse autoencoder

Published:2021-04-08 Issue: Volume: Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Zhang Yu‐Dong¹²^ORCID,Satapathy Suresh Chandra³,Wang Shui‐Hua²

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.

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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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