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Toward Real-world Implementation of Deep Learning for Smartphone-Crowdsourced Pavement Condition Assessment
Jong Hyun Jeong,
Hongki Jo
Civil and Architectural Engineering and Mechanics
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
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Dive into the research topics of 'Toward Real-world Implementation of Deep Learning for Smartphone-Crowdsourced Pavement Condition Assessment'. Together they form a unique fingerprint.
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Engineering
Deep Learning
100%
Road
100%
Condition Assessment
100%
Condition Monitoring
66%
Driving Speed
66%
Infrastructure
33%
Full Scale
33%
Sensor Data
33%
Conventional Method
33%
Convolutional Neural Network
33%
GPS Data
33%
Neural Network Architecture
33%
Location Sensor
33%
Computer Science
Deep Learning
100%
Condition Monitoring
100%
Data Management
50%
Convolutional Neural Network
50%
Neural Network Architecture
50%
Conventional Method
50%
Chemical Engineering
Deep Learning
100%
Condition Monitoring
100%
Neural Network
50%
Keyphrases
Inertial Profiler
50%
Road Condition Monitoring
50%
Smartphone Sensor Data
25%
Material Science
Mechanical Property
100%