Predicting Crash Injury Severity in Smart Cities: a Novel Computational Approach with Wide and Deep Learning Model-Reference-Cited by-同舟云学术

Predicting Crash Injury Severity in Smart Cities: a Novel Computational Approach with Wide and Deep Learning Model

Published:2023-03-04 Issue:1 Volume:21 Page:240-258
ISSN:1348-8503
Container-title:International Journal of Intelligent Transportation Systems Research
language:en
Short-container-title:Int. J. ITS Res.

Author:

Niyogisubizo Jovial^ORCID,Liao Lyuchao,Sun Qi,Nziyumva Eric,Wang Yongqiang,Luo Linsen,Lai Shukun,Murwanashyaka Evariste

Funder

National Science Foundation of China

Fujian Provincial Department of Science and Technology

Publisher

Springer Science and Business Media LLC

Subject

General Neuroscience,Computer Science Applications,Software,Automotive Engineering,Applied Mathematics,Control and Systems Engineering,Aerospace Engineering,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s13177-023-00351-7.pdf

Reference95 articles.

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4. Madakam, S., Ramaswamy, R.: 100 New smart cities (India's smart vision). In 2015 5th National Symposium on Information Technology: Towards New Smart World (NSITNSW). IEEE. 1–6 (2015)

5. Yin, C., Xiong, Z., Chen, H., Wang, J., Cooper, D., David, B.: A literature survey on smart cities. Sci. China Inform. Sci. 58(10), 1–18 (2015)

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