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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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English 日本語
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English 日本語
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English
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MYU K.K.
Sensors and Materials
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The Art of Writing Scientific Papers
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 37, Number 8(3) (2025)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 3531-3537
S&M4135 Research paper of Special Issue https://doi.org/10.18494/SAM5576 Published: August 21, 2025 Smart Trash Can Based on AI and IoT [PDF] Shu-Han Liao, Lydia Hsiao-Mei Lin, Cheng-Yu Tsai, Chih-Cheng Chen, Bo-Ruei Su, Dong-Jin Li, Chun-Chia Chang, and Wei-Jie Mei (Received January 21, 2025; Accepted August 4, 2025) Keywords: edge detection, deep learning, image processing, convolutional neural network
Initially, we saw smart trash bins on the streets near convenience stores abroad. Their purpose is to promote recycling by offering cash rewards as an incentive, encouraging the public to engage in environmentally friendly practices. However, we believe that environmental protection does not necessarily have to rely on street installations or monetary rewards. Instead, everyone can contribute to sustainability right from their own homes. With this in mind, we integrated the concept of smart homes, which has recently become popular, and designed our own smart trash bin. This bin can detect the type of waste and automatically sort it for recycling. It helps users avoid confusion caused by the complexity of waste categories and encourages them to develop good recycling habits.
Corresponding author: Lydia Hsiao-Mei Lin and Chih-Cheng Chen  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Shu-Han Liao, Lydia Hsiao-Mei Lin, Cheng-Yu Tsai, Chih-Cheng Chen, Bo-Ruei Su, Dong-Jin Li, Chun-Chia Chang, and Wei-Jie Mei, Smart Trash Can Based on AI and IoT, Sens. Mater., Vol. 37, No. 8, 2025, p. 3531-3537. |
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Special Issue on Advanced Materials and Technologies for Sensor and Artificial- Intelligence-of-Things Applications (Selected Papers from ICASI 2025)
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- Flood Susceptibility Mapping Using Machine Learning Models with Novel Flood Inventory Sampling Strategies
Gen Long, Sarintip Tantanee, Korakod Nusit, and Pitikhate Sooraksad
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