Defect Detection and Classification Algorithm of Metal Nanomaterials Based on Deep Learning-Reference-Cited by-同舟云学术

Defect Detection and Classification Algorithm of Metal Nanomaterials Based on Deep Learning

Published:2022-06-03 Issue:1 Volume:226 Page:277-292
ISSN:1058-4587
Container-title:Integrated Ferroelectrics
language:en
Short-container-title:Integrated Ferroelectrics

Author:

Xue Bin¹²,Wu Zhisheng¹

Affiliation:

1. School of Materials Science and Engineering, Taiyuan University of Science and Technology, Taiyuan, Shanxi, China

2. School of Mechanical and Electrical Engineering, Qingdao Binhai University, Qingdao, Shandong, China

Funder

National Key Research and Development Project

National Natural Science Foundation of China

Scientific and Technological Innovation Programs of Higher Education Institutions in Shanx

Shanxi Province Science Foundation for Youths

Research Project of Science and Technology Plan of Qingdao Binhai University

Publisher

Informa UK Limited

Subject

Materials Chemistry,Electrical and Electronic Engineering,Condensed Matter Physics,Ceramics and Composites,Control and Systems Engineering,Electronic, Optical and Magnetic Materials

Link

https://www.tandfonline.com/doi/pdf/10.1080/10584587.2022.2065568

Reference22 articles.

1. Deep Learning

2. Deep Learning in Medical Image Analysis

3. Deep Learning-Based Classification of Hyperspectral Data

4. Deep Learning for Health Informatics

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