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Print: ISSN 0914-4935
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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.
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MYU K.K.
Sensors and Materials
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Vol. 34 No. 4(1)
Special Issue on Soft Computing and Sensor Applications
Guest Editor: Chih Hsien Hsia (National Ilan University)
PrefaceWith the advent of the “beauty economic era”, in which people are paying more attention to beauty and health, the health of the scalp is being increasingly valued. However, current scalp care ... Read More
In a microgrid system, a phasor measurement device (PMU) is used to measure the electrical quantities of nodes, which can provide accurate data for system stability control. How to use the data m ... Read More
In this research, an X-ray flat panel detector is adopted as an image collection sensor for evaluating left ventricular systolic functions. Typically, left ventriculography (LVG) is conducted in ... Read More
The Industrial Internet of Things (IIoT) connects devices with the ability to monitor sensor data and exchange it through the internet. The necessities of reliability and high-quality data mean t ... Read More
As the Internet of Things (IoT) matures, large-scale groundwater flow data collection, transmission, and storage can be carried out through many sensors. There are significant resource requiremen ... Read More
Meteorological analysis and weather forecasting mainly rely on three essential elements, namely, data gathering, computing power, and theoretical solutions. The acquisition of data depends on var ... Read More
With the advances of scanning sensors and deep learning algorithms, computational pathology has drawn much attention in recent years and started to play an important role in the clinical workflow ... Read More
S&M2895
Research Paper of Special Issue
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S&M2895
Understanding the Mechanism of Deep Learning Frameworks in Lesion Detection for Pathological Images with Breast Cancer
Wei-Wen Hsu, Chung-Hao Chen, Chang Hao, Yu-Ling Hou, Xiang Gao, Yun Shao, Xueli Zhang, Jingjing Wang, Tao He, and Yanhong Tai
pp. 1337-1349
https://doi.org/10.18494/SAM3629 Published on April 4, 2022
PDF
(open access)
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Cover of this Issue
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