您当前的位置:
首页 >
文章列表页 >
Evaluating Rust Grades Based on Attention Mechanism and Bilinear Pooling
INFORMATION ENGINEERING | 更新时间:2024-01-10
    • Evaluating Rust Grades Based on Attention Mechanism and Bilinear Pooling

    • Advanced Engineering Sciences   Vol. 55, Issue 5, Pages: 242-252(2023)
    • DOI:10.15961/j.jsuese.202200470    

      CLC: TP319.3;TH132.2
    • Published:20 September 2023

      Published Online:22 August 2023

      Received:20 July 2022

    扫 描 看 全 文

  • Chen Fafa,Dong Haifei,Pan Ruixue,et al.Evaluating rust grades based on attention mechanism and bilinear pooling[J].Advanced Engineering Sciences,2023,55(5):242–252 DOI: 10.15961/j.jsuese.202200470.

  •  
  •  

0

Views

105

下载量

0

CNKI被引量

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Classification and Rating of Scrap Steel Based on Deep Learning
TCS-Net: A Tiny Crack Segmentation Network for Nuclear Containment Vessel
P2P Botnet Detection Method Based on Graph Neural Network

Related Author

Pengcheng XIAO
Wenguang XU
Jinbao CHANG
Liguang ZHU
Rong ZHU
Yunfeng XU
Songyi DIAN
Jingjin HUANG

Related Institution

College of Metallurgy and Energy, North China Univ. of Sci. and Technol. Univ.
HBIS Group Co., Ltd. (HBIS)
Metallurgical and Ecological Eng. School, Univ. of Sci. and Technol., Beijing
College of Materials Sci.and Eng., Hebei Univ. of Sci. and Technol.
College of Info. Sci.and Eng., Hebei Univ. of Sci. and Technol.
0