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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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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 32, Number 8(2) (2020)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 2673-2686
S&M2292 Retracted https://doi.org/10.18494/SAM.2020.2795 Published: August 20, 2020 Hybrid Method for Automatic Anomaly Detection in Heterogeneous Wireless Sensor Networks Wenhui Yu, Rongfu Qiu, and Fanzhu Jin (Received January 6, 2020; Accepted June 9, 2020; Retracted September 11, 2020) Notice of retraction This paper was retracted because it contained plagiarized content. We deeply regret having published the above paper and do our best to prevent scientific misconduct from occurring again in the future. Sensors and Materials, Volume 32, Number 8(2), 2020, pp. 2673–2686; ID: S&M2292 Title: Hybrid Method for Automatic Anomaly Detection in Heterogeneous Wireless Sensor Networks Authors: Wenhui Yu,1 Rongfu Qiu,2 and Fanzhu Jin3 1China Southern Power Grid Company Co., Ltd., Guang Dong 510530, China 2Digital Grid Research Institute, China Southern Power Grid, Guang Dong 510530, China 3College of Mathematics and Information Engineering, Longyan University, Long Yan City 364012, China. |
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