A Hybrid Attention-Based Deep Neural Network for Simultaneous Multi-Sensor Pruning and Human Activity Recognition-Reference-Cited by-同舟云学术

A Hybrid Attention-Based Deep Neural Network for Simultaneous Multi-Sensor Pruning and Human Activity Recognition

Author:

Zhou Yu¹^ORCID,Yang Zhuodi¹,Zhang Xiao²^ORCID,Wang Yufan³

Affiliation:

1. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China

2. Department of Computer Science, South- Central University for Nationalities, Wuhan, China

3. Department of Industrial Engineering and Management, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Shenzhen Fundamental Research Program

Fundamental Research Funds for the Central Universities, South-Central Minzu University

Research Start-Up Funds of South-Central Minzu University

Hubei Province Universities and Colleges Teaching-Research Program

Teaching-Research Program of South-Central Minzu University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference34 articles.

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