Towards Sustainable Waste Management: Exploring Machine Learning and Deep Learning Solutions for Biodegradable and Non-Biodegradable Waste Identification-Reference-Cited by-同舟云学术

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Towards Sustainable Waste Management: Exploring Machine Learning and Deep Learning Solutions for Biodegradable and Non-Biodegradable Waste Identification

Published:2024-05-03 Issue: Volume:5 Page:585-591
ISSN:
Container-title:2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN)
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Author:

Rekha S. Sasi¹,Kavitha P.²,Kamalakkannan S.³

Affiliation:

1. School of Computing Sciences, Vels Institute of Science, Technology & Advanced Studies (VISTAS),Department of Computer Science,Chennai,Pallavaram,India

2. School of Computing Sciences, Vels Institute of Science, Technology & Advanced Studies (VISTAS),Department of Computer Applications,Chennai,Pallavaram,India

3. School of Computing Sciences, Vels Institute of Science, Technology & Advanced Studies (VISTAS),Department of Information Technology,Chennai,Pallavaram,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10607378/10607379/10607661.pdf?arnumber=10607661

Reference20 articles.

1. Machine-learning-assisted classification of construction and demolition waste fragments using computer vision: Convolution versus extraction of selected features

2. Intelligent waste management system using deep learning with IoT

3. Waste Classification using Convolutional Neural Network

4. A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification

5. An automatic classification method for environment: Friendly waste segregation using deep learning

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