Notice of retraction
Vol. 32, No. 8(2), S&M2292

ISSN (print) 0914-4935
ISSN (online) 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.
Sensors and Materials
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)

Copyright(C) MYU K.K.
S&M2329 Research Paper of Special Issue

Uniform Experimental Design for Optimizing the Parameters of Multi-input Convolutional Neural Networks

Cheng-Jian Lin, Chen-Hsien Wu, Chi-Chia Sun, and Cheng-Hsien Lin

(Received January 17, 2020; Accepted May 25, 2020)

Keywords: image recognition, gender classification, convolutional neural network, uniform experimental design

In this paper, a multi-input convolutional neural network (CNN) based on a uniform experimental design (UED) is proposed for gender classification applications. The proposed multi-input CNN uses multiple CNNs to obtain output results through individual training and concatenation. In addition, to avoid using trial and error for determining the architecture parameters of the multi-input CNN, a UED was used in this study. The experimental results confirmed that the dual-input CNN with a UED achieved accuracies of 99.68 and 99.06% for the CIA and MORPH datasets, respectively. The accuracy of the proposed CNN increased significantly when increasing the number of inputs.

Corresponding author: Cheng-Jian Lin




Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Perceptual Deep Learning in Computer Vision and its Application
Guest editor, Chih-Hsien Hsia (National Ilan University)


Special issue on Novel Materials and Sensing Technologies on Electronic and Mechanical Devices (1)
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Hsien-Wei Tseng (Longyan University)
Call for paper


Special Issue on New Trends in Smart Sensor Systems
Guest editor, Takahiro Hayashi (Kansai University)
Call for paper


Special Issue on International Conference on BioSensors, BioElectronics, BioMedical Devices, BioMEMS/NEMS and Applications 2019 (Bio4Apps 2019)
Guest editor, Hirofumi Nogami and Masaya Miyazaki (Kyushu University)
Conference website
Call for paper


Special Issue on Materials, Devices, Circuits, and Analytical Methods for Various Sensors (4)
Guest editor, Chien-Jung Huang (National University of Kaohsiung), Cheng-Hsing Hsu (National United University), Ja-Hao Chen (Feng Chia University), and Wei-Ling Hsu (Huaiyin Normal University)
Conference website


Special Issue on Geomatics Technologies for the Realization of Smart Cities
Guest editor, He Huang and XiangLei Liu (Beijing University of Civil Engineering and Architecture)
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.