Image Based Feature Separation Using RBM Tech with ADBN Tech for Accurate Fruit Classification-Reference-Cited by-同舟云学术

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Image Based Feature Separation Using RBM Tech with ADBN Tech for Accurate Fruit Classification

Published:2024-02-09 Issue: Volume:19 Page:1423-1429
ISSN:
Container-title:2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)
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Author:

Revathi V¹,Kavin Balasubramanian Prabhu²,Thirumalraj Arunadevi³,Gangadevi E.⁴,Balusamy Balamurugan⁵,Gite Shilpa⁶

Affiliation:

1. New Horizon College of Engineering, Ring Road, Bellandur Post,Department of Applied Sciences - Physics,Bengaluru,India

2. School of Computing, SRM Institute of Science and Technology, Kattankulathur,Department of Data Science and Business Systems,Chengalpattu,Tamil Nadu,India,603 203

3. K.Ramakrishnan College of Technology,Department of Computer Science Engineering,Trichy,Tamil Nadu

4. Loyola College,Department of Computer Science,Chennai,600034

5. Shiv Nadar University,Delhi-National Capital Region (NCR)

6. Symbiosis International (Deemed University),Symbiosis Institute of Technology, Pune,AIML department,Pune,India,412115

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10486056/10486063/10486564.pdf?arnumber=10486564

Reference25 articles.

1. Fruit classification using attention-based MobileNetV2 for industrial applications

2. A Deep Learning-Based Model for Date Fruit Classification

3. Real-time visual inspection system for grading fruits using computer vision and deep learning techniques

4. Efficient Fruit Grading System Using Spectrophotometry and Machine Learning Approaches

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