Software Escalation Prediction Based on Deep Learning in the Cognitive Internet of Vehicles-Reference-Cited by-同舟云学术

Software Escalation Prediction Based on Deep Learning in the Cognitive Internet of Vehicles

Author:

Wang Ranran¹^ORCID,Zhang Yin¹^ORCID,Fortino Giancarlo²^ORCID,Guan Qingxu³,Liu Jiangchuan⁴^ORCID,Song Jeungeun⁴

Affiliation:

1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. Department of Informatics, Modeling, Electronics and Systems (DIMES), University of Calabria (Unical), Cosenza, Italy

3. Sichuan Provincial Big Data Center, Chengdu, China

4. School of Computing Science, Simon Fraser University, Burnaby, Canada

Funder

China National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference36 articles.

3. BERT: Pre-training of deep bidirectional transformers for language understanding;devlin;arXiv 1810 04805,2018

4. Gated graph sequence neural networks;li;arXiv 1511 05493,2015

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