Parvin Ahmadi Doval Amiri and Samuel Pierre
Article (2023)
Open Acess document in PolyPublie and at official publisher |
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Open Access to the full text of this document Published Version Terms of Use: Creative Commons Attribution Download (2MB) |
Subjects: | 2800 Artificial intelligence > 2800 Artificial intelligence (Computer vision, see 2603) |
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Department: | Department of Computer Engineering and Software Engineering |
Research Center: | LARIM - Mobile Computing and Networking Research Laboratory |
PolyPublie URL: | https://publications.polymtl.ca/52240/ |
Journal Title: | IEEE Access (vol. 11) |
Publisher: | IEEE |
DOI: | 10.1109/access.2023.3253625 |
Official URL: | https://doi.org/10.1109/access.2023.3253625 |
Date Deposited: | 18 Apr 2023 14:58 |
Last Modified: | 26 Sep 2024 02:45 |
Cite in APA 7: | Doval Amiri, P. A., & Pierre, S. (2023). An ensemble-based machine learning model for forecasting network traffic in VANET. IEEE Access, 11, 22855-22870. https://doi.org/10.1109/access.2023.3253625 |
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