Image Deep Learning Assisted Prediction of Mechanical and Corrosion Behavior for Al-Zn-Mg Alloys-Reference-Cited by-同舟云学术

Image Deep Learning Assisted Prediction of Mechanical and Corrosion Behavior for Al-Zn-Mg Alloys

Published:2022 Issue: Volume:10 Page:35620-35631
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ao Min¹^ORCID,Ji Yucheng¹,Sun Xiaoguang²^ORCID,Guo Fengjia³,Xiao Kui¹,Dong Chaofang¹^ORCID

Affiliation:

1. Key Laboratory for Corrosion and Protection (MOE), Beijing Advanced Innovation Center for Materials Genome Engineering, Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing, China

2. Technical Engineering Department, CRRC Qingdao Sifang Company Ltd, Qingdao, China

3. Shandong Nanshan Aluminium Company Ltd, Longkou, China

Funder

National Key Research and Development Program of China

Basic and Applied Basic Research Foundation of Guangdong Province

Special Fund Support for Taishan Industrial Leading Talents Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09739738.pdf?arnumber=9739738

Reference64 articles.

1. Machine learning assisted composition effective design for precipitation strengthened copper alloys

2. Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images

3. Monitoring the Change Process of Banana Freshness by GoogLeNet

4. An Approach Focusing on the Convolutional Layer Characteristics of the VGG Network for Vehicle Tracking

5. Image Super-Resolution Using Deep Convolutional Networks

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