3DA-NTC: 3D Channel Attention Aided Neural Tensor Completion for Crowdsensing Data Inference-Reference-Cited by-同舟云学术

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3DA-NTC: 3D Channel Attention Aided Neural Tensor Completion for Crowdsensing Data Inference

Published:2024-06-30 Issue: Volume:16 Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Kang Xu¹,Jia Zhiyang¹,Jia Jia²,Ren Jiadong³

Affiliation:

1. China University of Petroleum (Beijing) at Karamay,Karamay,China

2. Beijing University of Posts and Telecommunications,School of Cyberspace Security,Beijing,China

3. Yanshan University,School of Information Science and Engineering,Qinhuangdao,China

Funder

National Natural Science Foundation of China

Science and Technology Development Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650963.pdf?arnumber=10650963

Reference30 articles.

1. Crowdsensing 2.0

2. Spatiotemporal Fracture Data Inference in Sparse Urban CrowdSensing

3. COME: Learning to Coordinate Crowdsourcing and Regular Couriers for Offline Delivery During Online Mega Sale Days

4. SafeCity: A Heterogeneous Mobile Crowd Sensing System for Urban Public Safety

5. Acceptance-Aware Mobile Crowdsourcing Worker Recruitment in Social Networks

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