Automated Garbage Classification using Deep Learning-Reference-Cited by-同舟云学术

Automated Garbage Classification using Deep Learning

Published:2023-05-04 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
language:
Short-container-title:

Author:

Bhattacharya Sabitabrata¹,Sai Kanumala Bhargav¹,S Harikrishnan¹,Puvirajan ¹,Peera Hussain¹,Jyothi Gollapalli¹

Affiliation:

1. New Horizon College of Engineering,Department of Electonics and Communication,Bangalore,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10140172/10140203/10141483.pdf?arnumber=10141483

Reference17 articles.

1. Multimedia inorganic waste separator

2. Municipalsolid waste segregation with CNN;srinilta;Proceedings of the 2019 5th International Conference on Engineering Applied Sciences and Technology (ICEAST),2019

3. Garbage Waste Segregation Using Deep Learning Techniques

4. SpotGarbage

5. Fine-tuning modelscomparisons on garbage classification for recyclability;ozkaya;Proceedings of the 2020 5th International Conference on Communication and Electronics Systems (ICCES),0

Cited by 4 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. Optimization of automated garbage recognition model based on ResNet-50 and weakly supervised CNN for sustainable urban development;Alexandria Engineering Journal;2024-12

2. Application of Machine Learning in Plastic Waste Detection and Classification: A Systematic Review;Processes;2024-08-03

3. Comparing modified Yolo V5 and Faster Regional Convolutional Neural Network performance for Recycle Waste Classification;2024 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS);2024-06-29

4. Garbage Classification Using a Transfer Learning with Parameter Tuning;2024 6th International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT);2024-05-02