Smart City Intelligent Traffic Control for Connected Road Junction Congestion Awareness with Deep Extreme Learning Machine-Reference-Cited by-同舟云学术

Smart City Intelligent Traffic Control for Connected Road Junction Congestion Awareness with Deep Extreme Learning Machine

Published:2022-02-16 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Business Analytics for Technology and Security (ICBATS)
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Author:

Hassan Muhammad¹,Kanwal Asma²,Jarrah Muath³,Pradhan Manas⁴,Hussain Arshad⁵,Mago Beenu⁶

Affiliation:

1. NCBA&E,Department of Computer Science,Lahore,Pakistan

2. GCU,Department of Computer Science,Lahore,Pakistan

3. Skyline University College, University City Sharjah,School of Information Technology,Sharjah,UAE,1797

4. Skyline University College,School of Information Technology,Sharjah,UAE

5. NCBA&E,School of Computer Science,Lahore,Pakistan

6. Skyline University College,Department of Computer Science,Dubai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9758922/9758923/09759073.pdf?arnumber=9759073

Reference20 articles.

1. An adaptive approach: smart traffic congestion control system;atta;J King Saud Univ Comput Inf Sci,2018

2. Intelligent Model Of Ecosystem For Smart Cities Using Artificial Neural Networks

3. Enabling Smart Cities with Cognition Based Intelligent Route Decision inVehicles Empowered with Deep Extreme Learning Machine;hussain;IEEE Access,2020

4. Intelligent FSO Link for Communication in Natural Disasters empowered with Fuzzy Inference System

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