Enhancement of V2X Technology with Artificial Intelligence-Reference-Cited by-同舟云学术

Enhancement of V2X Technology with Artificial Intelligence

Published:2022-11-24 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
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Author:

Binisha R.¹,Rajasekaran P.²,Kalpana K.³,ChithrakumarThangaraj T.⁴,Ramani U.⁵,IrfanBasha S.⁵

Affiliation:

1. Sri Eshwar College of Engineering,Coimbatore,India

2. Dr.N.G.P Institute of Technology,Coimbatore,India

3. Lourdes Mount College of Engineering and Technology,Kanyakumari,India

4. Sri Ramakrishna Engineering College,Coimbatore,India

5. K.Ramakrishnan College of Enegineering,Trichy,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10010702/10010572/10010845.pdf?arnumber=10010845

Reference14 articles.

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2. 3GPP, TS36.201,36.300, 36.211, 36.212,36.213, 36.214;Evolved Universal Terrestrial Radio Access (E-UTRA) Physical Layer Measurements (Release 10),2017

3. Human action recognition based on spatial–temporal relational model and LSTM-CNN framework

4. Embedded Monitoring of Covellar Carbon Monoxide Detection and Air freshening in Air Trained Automotives

5. Identification of Drivers Drowsiness Based on features Extracted from EEG Signal Using SVM Classifier;ramani;International Conference on sustainable Development organized on NOVEMBER 2019 3C Tecnologia,0

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