Automated Road anomaly detector in VANET by using Deep Learning-Reference-Cited by-同舟云学术

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Automated Road anomaly detector in VANET by using Deep Learning

Published:2023-12-13 Issue: Volume: Page:963-968
ISSN:
Container-title:2023 OITS International Conference on Information Technology (OCIT)
language:
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Author:

Bondre Shweta V.¹,Bondre Vipin D.²,Yadav Uma³,Thakare Bhakti⁴,Nanwani Jaya¹

Affiliation:

1. Shri Ramdeobaba College of Engineering and Management,Information Technology Department,Nagpur,India

2. Yeshwantrao Chavan College of Engineering,Department of Electronics & Telecommunication,Nagpur,India

3. RTM Nagpur University,DataScience i-Nurture Education Solutions Limited,Nagpur,India

4. St. Vincent Pallotti College of Engineeing,Department of Computer Science & Engineeing(Cyber Security),Nagpur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10430418/10430505/10431273.pdf?arnumber=10431273

Reference16 articles.

1. Detection-delay-based freeway incident detection algorithms

2. Incident detection algorithm based on partial least squares regression

3. A hybrid model of partial least squares and neural network for traffic incident detection

4. Machine learning models and techniques for VANET based traffic management: Implementation issues and challenges

5. Short-term traffic forecasting: Where we are and where we’re going

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