Load Energy Control of Autonomous Connected Vehicles Based on ML Approach-Reference-Cited by-同舟云学术

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Load Energy Control of Autonomous Connected Vehicles Based on ML Approach

Published:2024-05-16 Issue: Volume:8 Page:1-6
ISSN:
Container-title:2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)
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Author:

Fendri Dalia¹,Marouane Hend²,Sahnoun Salwa³,Cheffi Hassen⁴,Hamed Bassem Ben⁵,Fakhfakh Mourad⁴

Affiliation:

1. Sfax University,Tunisia

2. NTS'COM research unit National School of Electronics and Telecommunications (ENET'Com), Sfax University,Tunisia

3. Digital Research Center of Sfax,Laboratory of Signals, systeMs, aRtificial Intelligence, neTworkS. SM@ARTS,Tunisia

4. ENET'Com Sfax University,ESSE,Tunisia

5. Digital Research Center of Sfax,Laboratory of Signals, SysteMs, aRtificial Intelligence and neTworkS (SM@RTS),Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548014/10548010/10548141.pdf?arnumber=10548141

Reference20 articles.

1. Impacts of Connected and Autonomous Vehicles with Level 2 Automation on Traffic Efficiency and Energy Consumption

2. Connected & Autonomous Vehicles and road infrastructure – state of play and outlook

3. Autonomous Intelligent Vehicles (AIV): Research statements, open issues, challenges and road for future

4. 6G Cellular Networks and Connected Autonomous Vehicles

5. Evaluating an Eco-Cooperative Automated Control System

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