Young Researcher Paper Award 2023
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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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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 33, Number 7(2) (2021)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 2459-2470
S&M2630 Research Paper of Special Issue https://doi.org/10.18494/SAM.2021.3306 Published: July 15, 2021 Waveform Parameter Evaluation of Lightning Impulse Voltage Based on Neural Network Method [PDF] Nutthaphong Tanthanuch, Savinee Ludpa, and Peerawut Yutthagowith (Received January 29, 2021; Accepted June 2, 2021) Keywords: lightning impulse test, base curve fitting, waveform parameters, multilayer neural networks,
exponential fitting
Corresponding author: Nutthaphong Tanthanuch  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Nutthaphong Tanthanuch, Savinee Ludpa, and Peerawut Yutthagowith, Waveform Parameter Evaluation of Lightning Impulse Voltage Based on Neural Network Method, Sens. Mater., Vol. 33, No. 7, 2021, p. 2459-2470. |
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