Raspberry Pi-based design of intelligent household classified garbage bin-Reference-Cited by-同舟云学术

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Raspberry Pi-based design of intelligent household classified garbage bin

Published:2023-12 Issue: Volume:24 Page:100987
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Fan Haonan^ORCID,Dong Qin^ORCID,Guo Naixuan,Xue Jun,Zhang Rongrong,Wang Haobo,Shi Mingfeng

Funder

Yancheng Institute of Technology

JIangsu Education Department

Key Laboratory of Computer Network and Information Integration

Yancheng Municipal Science and Technology Bureau

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Engineering (miscellaneous),Information Systems,Computer Science (miscellaneous),Software

Reference48 articles.

1. Municipal solid waste generation, composition, and management: The global scenario;Sharma;Soc. Responsib. J.,2020

2. Public participation and city sustainability: Evidence from urban garbage classification in China;Kuang;Sustainable Cities Soc.,2021

3. China is implementing “garbage classification” action;Tong;Environ. Pollut.,2020

4. Garbage classification system based on improved ShuffleNet v2;Chen;Resour. Conserv. Recy.,2022

5. A deep learning approach based hardware solution to categorise garbage in environment;Gupta;Complex Intell. Syst.,2022

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1. Detection of explosives in dustbins using deep transfer learning based multiclass classifiers;Applied Intelligence;2024-01

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