CMNN-RADC: A Crowdsensing Convolutional-based Mixer Neural Network Road Anomalies Detector and Classifier-Reference-Cited by-同舟云学术

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CMNN-RADC: A Crowdsensing Convolutional-based Mixer Neural Network Road Anomalies Detector and Classifier

Published:2023-07 Issue: Volume:22 Page:100771
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Sabor Nabil,AbdelRaheem Mohamed^ORCID

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Engineering (miscellaneous),Information Systems,Computer Science (miscellaneous),Software

Reference32 articles.

1. Bumpy road ahead: America’s roughest ride and strategies to make our road smoother;National Transportation Research Group,2018

2. Cost of crashes related to road conditions, United States, 2006;Zaloshnja,2009

3. AAA: Potholes pack a punch as drivers pay $26.5 billion in related vehicle repairs,2022

4. ALARM Annual Local Authority Road Maintenance Survey;Asphalt Industry Alliance,2022

5. Drive-by road condition assessment using internet of things technology;Raheem,2020

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. Design and Implementation of a Vibration-Based Real-Time Internet of Things Framework for Road Condition Monitoring;IEEE Open Journal of Vehicular Technology;2023

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