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Embedded port infrastructure inspection using Artificial Intelligence
Nicolas Vigne
, Rémi Barrère
, Benjamin Blanck
, Florian Steffens
, Ching Nok Au
,
James Riordan
, Gerard Dooly
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
77
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Dive into the research topics of 'Embedded port infrastructure inspection using Artificial Intelligence'. Together they form a unique fingerprint.
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Keyphrases
UAV
100%
Neural Network
100%
Port Infrastructure
100%
Artificial Intelligence
100%
Infrastructure Inspection
100%
Overall System
50%
Technical Expertise
50%
Latency
50%
Detection Rate
50%
Hardware Platform
50%
Industry Specialist
50%
Optimization Methods
50%
Detection System
50%
Concrete Structures
50%
Increased Productivity
50%
H2020
50%
Drone
50%
Power Constraint
50%
Deep Neural Network
50%
On-board Computer
50%
Deep Learning Algorithm
50%
Open Data
50%
Real-time Requirements
50%
Port Environment
50%
Weight Constraint
50%
Embedded Solution
50%
Applied Optimization
50%
Real-time Embedded
50%
Size Constraint
50%
Automated Monitoring
50%
Training Quality
50%
Computer Science
Neural Network
100%
Artificial Intelligence
100%
Unmanned Aerial Vehicle
100%
Hardware Platform
50%
Open Source
50%
Detection Rate
50%
Power Constraint
50%
Deep Neural Network
50%
Technical Expertise
50%
Time Requirement
50%
Deep Learning Method
50%