AFCNet: A Fusion Method of Multisensor Data Based on Adaptive Feature Complementation-Reference-Cited by-同舟云学术

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AFCNet: A Fusion Method of Multisensor Data Based on Adaptive Feature Complementation

Published:2024-06-15 Issue:12 Volume:24 Page:20054-20063
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Sun Liang¹^ORCID,Cao Cong²^ORCID,Bai Guoli²^ORCID,Zhong Zhidan³^ORCID,Sun Wei²^ORCID,Wang Dongfeng⁴^ORCID

Affiliation:

1. School of Mechanical Engineering and Luoyang Research Institute, Dalian University of Technology, Dalian, China

2. School of Mechanical Engineering, Dalian University of Technology, Dalian, China

3. School of Mechanical and Electrical Engineering, Henan University of Science and Technology, Luoyang, China

4. Luoyang Bearing Science and Technology Company Ltd, Luoyang, China

Funder

Joint Fund of Sci&Tech and Research and Development Program of Henan Province China

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10558706/10515213.pdf?arnumber=10515213

Reference37 articles.

1. Ensemble of CNN for multi-focus image fusion

2. New Framework Based on Fusion Information from Multiple Landslide Data Sources and 3D Visualization

3. Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer

4. Deep learning assisted multi-omics integration for survival and drug-response prediction in breast cancer

5. A scoping review on multi-fault diagnosis of industrial rotating machines using multi-sensor data fusion

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