Improving Traffic Density Forecasting in Intelligent Transportation Systems Using Gated Graph Neural Networks-Reference-Cited by-同舟云学术

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Improving Traffic Density Forecasting in Intelligent Transportation Systems Using Gated Graph Neural Networks

Published:2023-11-14 Issue: Volume: Page:
ISSN:
Container-title:2023 15th International Conference on Innovations in Information Technology (IIT)
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Author:

Khan Razib Hayat¹,Miah Jonayet²,Arafat S M Yasir³,Syeed M M Mahbubul⁴,Ca Duc M⁵

Affiliation:

1. Independent University Bangladesh,Department of Computer Science and Engineering,Dhaka,Bangladesh

2. University Of South Dakota,Department of Computer Science,South Dakota,USA

3. Lamar University,Department of Mechanical Engineering,Texas,USA

4. Independent University Bangladesh,Dept. of CSE & RIoT Center,Dhaka,Bangladesh

5. University of Tennessee,Department of Economics,Knoxville,TN,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10366456/10366409/10366426.pdf?arnumber=10366426

Reference11 articles.

1. A comparative study of Detecting Covid 19 by Using Chest X-ray Images– A Deep Learning Approach

2. A Comparative Study of Machine Learning Algorithms for Detecting Breast Cancer

3. A Comparative Study of Machine Learning classifiers to analyze the precision of Myocardial Infarction prediction

4. Variational Graph Neural Networks for Road Traffic Prediction in Intelligent Transportation Systems

5. Intelligent Traffic Control System Based on Cloud Computing and Big Data Mining

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Strategic analysis of intelligent connected vehicle industry competitiveness: a comprehensive evaluation system integrating rough set theory and projection pursuit;Complex & Intelligent Systems;2024-06-29

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