Deep learning‐influenced joint vehicle‐to‐infrastructure and vehicle‐to‐vehicle communication approach for internet of vehicles-Reference-Cited by-同舟云学术

Deep learning‐influenced joint vehicle‐to‐infrastructure and vehicle‐to‐vehicle communication approach for internet of vehicles

Author:

Mekala M. S.¹²,Dhiman Gaurav³^ORCID,Patan Rizwan⁴^ORCID,Kallam Suresh⁵,Ramana Kadiyala⁶,Yadav Kusum⁷,Alharbi Ali O.⁷

Affiliation:

1. Department of Information and Communication Engineering Yeungnam University Gyeongsan South Korea

2. RLRC for Autonomous Vehicle Parts and Materials Innovation Yeungnam University Gyeongsan South Korea

3. Department of Computer Science Engineering, Government Bikram College of Commerce Punjabi University Patiala India

4. Decentralized Science Lab (dSL), College of Computing and Software Engineering (CCSE) Marietta Georgia USA

5. Department of Computer Science Engineering Sree Vidyanikethan Engineering College Tirupati India

6. Department of Artificial Intelligence & Data Science Annamacharya Institute of Technology and Sciences Rajampet India

7. College of Computer Science Engineering University of Ha'il Ha'il Kingdom of Saudi Arabia

Funder

National Research Foundation of Korea

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

Reference52 articles.

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

4. Internet of Vehicle Moving Objects Detection System for the Rural Road Networks;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023-12-15