SGBS: A novel smart garbage bin system for understanding household garbage disposal behaviour-Reference-Cited by-同舟云学术

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SGBS: A novel smart garbage bin system for understanding household garbage disposal behaviour

Published:2021-11-17 Issue: Volume: Page:
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Container-title:2021 Thirteenth International Conference on Mobile Computing and Ubiquitous Network (ICMU)
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Author:

Likotiko Eunice,Misaki Shinya,Matsuda Yuki,Yasumoto Keiichi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9638698/9638782/09638956.pdf?arnumber=9638956

Cited by 6 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 field experiment to assess barriers to accurate household food waste measurements;Resources, Conservation and Recycling;2024-07

2. DEEPBIN: Deep Learning Based Garbage Classification for Households Using Sustainable Natural Technologies;Journal of Grid Computing;2023-12-19

3. Can we ‘Nudge’ people to better waste separation behaviours? Policy interventions mediated by habit, sense of separation efficiency and external environmental perceptions;Waste Management & Research: The Journal for a Sustainable Circular Economy;2023-07-24

4. Garbage Content Estimation Using Internet of Things and Machine Learning;IEEE Access;2023

5. An IoT Garbage Monitoring System for Effective Garbage Management;2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM);2022-11-22

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