Edge Intelligence for Traffic Flow Detection: A Deep Learning Approach-Reference-Cited by-同舟云学术

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Edge Intelligence for Traffic Flow Detection: A Deep Learning Approach

Published:2023-09-15 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 International Conference on Quantum Technologies, Communications, Computing, Hardware and Embedded Systems Security (iQ-CCHESS)
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Author:

Ranjitha R¹,Ahuja Pooja²,Shreeshayana R³,Anil D⁴

Affiliation:

1. Nagarjuna College of Engineering and Technology,Department of Information Science and Engineering,Bengaluru,India

2. Nagarjuna College of Engineering and Technology,Department of CSE-Data Science,Bengaluru,India

3. ATME College of Engineering,Department of Electrical and Electronics Engineering,Mysuru,India

4. Research Scholar (Bangalore University) CMR Institute of Technology,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391092/10391098/10391493.pdf?arnumber=10391493

Reference18 articles.

1. An Edge Traffic Flow Detection Scheme Based on Deep Learning in an Intelligent Transportation System

2. Smart traffic monitoring system using Unmanned Aerial Vehicles (UAVs)

3. V2V‐based method for the detection of road traffic congestion

4. Internet of Things Based Smart Grids Supported by Intelligent Edge Computing

5. Acceleration techniques and evaluation on multi-core CPU, GPU and FPGA for image processing and super-resolution

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