A Framework for Efficient Communication in IoT Applications in the Automotive Industry with OBD-II Edge
Author:
Affiliation:
1. Postgraduate Program in Electrical and Computer Engineering (PPgEEC)
2. Federal University of Rio Grande do Norte - Natal,Brazil
3. University of Porto,INEGI, Faculty of Enzineering,Porto,Portugal
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10389805/10389838/10389839.pdf?arnumber=10389839
Reference19 articles.
1. A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Things
2. A data-stream TinyML compression algorithm for vehicular applications: a case study
3. A customer feedback platform for vehicle manufacturing in Industry 4.0
4. Towards a customized vehicular maintenance based on 2-layers data-stream application
5. An Adaptive TinyML Unsupervised Online Learning Algorithm for Driver Behavior Analysis
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1. A Multi-Layered Methodology for Driver Behavior Analysis Using TinyML and Edge Computing;2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS);2024-05-23
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