Waste Classification System using a Hybrid Deep Transfer Learning Model-Reference-Cited by-同舟云学术

Waste Classification System using a Hybrid Deep Transfer Learning Model

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:2022 14th International Conference on Computational Intelligence and Communication Networks (CICN)
language:
Short-container-title:

Author:

Aldossary Munirah¹,Hasanaath Ahmed Abul¹,Hamami Fadia El¹,Hussain Ahmed Abul¹,Qahtani Lamya Al¹,Mewada Hiren¹

Affiliation:

1. College of Engineering, Prince Mohammad bin Fahd University,Khobar,KSA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10008224/10008233/10008286.pdf?arnumber=10008286

Reference23 articles.

1. Literature Review of Automated Waste Segregation System using Machine Learning: A Comprehensive Analysis;myra;LITERATURE REVIEW OF AUTOMATED WASTE SEGREGATION SYSTEM USING,0

2. Evaluation of Transfer Learning based Deep Learning architectures for Waste Classification

3. Classification of Trash for Recyclability Status;yang;Stanford University,0

4. WasteNet: Waste classification at the edge for smart bins;white;ArXiv Preprint,2020

5. Intelligent Waste Classification system using deep learning convolutional neural network;adedeji;Procedia Manufacturing,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comparative Analysis of Garbage Classification Using ResNet50, Xception and DenseNet121 Architecture: A Review;Lecture Notes in Networks and Systems;2024

2. Comparative analysis of five convolutional neural networks and transfer learning classification approach for microplastics in wastewater treatment plants;Ecological Informatics;2023-12