A Vision Transformer Approach for Traffic Congestion Prediction in Urban Areas-Reference-Cited by-同舟云学术

A Vision Transformer Approach for Traffic Congestion Prediction in Urban Areas

Published:2023-04 Issue:4 Volume:24 Page:3922-3934
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Ramana Kadiyala¹^ORCID,Srivastava Gautam²^ORCID,Kumar Madapuri Rudra³,Gadekallu Thippa Reddy⁴^ORCID,Lin Jerry Chun-Wei⁵^ORCID,Alazab Mamoun⁶^ORCID,Iwendi Celestine⁷^ORCID

Affiliation:

1. Chaitanya Bharathi Institute of Technology, Hyderabad, India

2. Department of Mathematics and Computer Science, Brandon University, Brandon, MB, Canada

3. G. Pullaiah College of Engineering and Technology, Kurnool, India

4. School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India

5. Silesian University of Technology, Gliwice, Poland

6. College of Engineering, IT and Environment, Charles Darwin University, Casuarina, NT, Australia

7. School of Creative Technology, University of Bolton, Bolton, U.K

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10086684/10012036.pdf?arnumber=10012036

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3. An efficient deep learning-based scheme for web spam detection in IoT environment

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