Efficient Future Prediction using Neural Network in Vehicular Ad hoc Networks-Reference-Cited by-同舟云学术

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Efficient Future Prediction using Neural Network in Vehicular Ad hoc Networks

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference of Smart Systems and Emerging Technologies (SMARTTECH)
language:
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Author:

Rashid Sidra¹,Khan Muazzam A.²,Akram Usman³,Saeed Ali¹

Affiliation:

1. Quaid-i-Azam University,Department of Computer Science,Islamabad,Pakistan

2. Quaid-i-Azam University,ICESCO Chair Big Data Analytics and Edge Computing,Department of Computer Science,Islamabad,Pakistan

3. National University of Sciences and Technology (NUST),Department of Computer & Software Engineering,Islamabad,Pakistan

Funder

Quaid-i-Azam University, Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9842388/9842335/09842433.pdf?arnumber=9842433

Reference38 articles.

1. Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

2. A Machine Learning Approach to Short-Term Traffic Flow Prediction: A Case Study of Interstate 64 in Missouri

3. Deep Learning based Vehicular Mobility Models for Intel-ligent Transportation Systems;zhang;Automatic Control Engineering Ecole Centrale de Lille,2018

4. Mobility Prediction in Vehicular Networks: An Approach Through Hybrid Neural Networks Under Uncertainty

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