Skip to main navigation
Skip to search
Skip to main content
The UWS Academic Portal Home
Help & FAQ
Home
Profiles
Research units
Research output
Activities
Press/Media
Projects
Prizes
Search by expertise, name or affiliation
Edge computational offloading for corrosion inspection in Industry 4.0
Mohamed Khadmaoui Bichouna
, Gelayol Golcarenarenji
, Ignacio Martinez-Alpiste
, Jose M. Alcaraz Calero
School of Computing, Engineering and Physical Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
54
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Edge computational offloading for corrosion inspection in Industry 4.0'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
4th Industrial Revolution
20%
5G Mobile Networks
20%
5G Networks
20%
Artificial Intelligence
20%
Computation Offloading
100%
Computation Time
20%
Corrosion Detection
20%
Corrosion Identification
20%
Corrosion Inspection
100%
Detection Network
20%
Edge Computing System
20%
Fifth Generation (5G) Mobile
20%
Flexibility Services
20%
Functional Prototype
20%
Game Changer
20%
Industry 4.0 (I4.0)
100%
Industry 4.0 Revolution
20%
Mobile Edge Computing
20%
Mobile Networks
20%
NetApps
20%
Network Applications
100%
Network Testbed
20%
Onboarding
20%
Percentage Reduction
20%
Performance Improvement
20%
Processing Time
20%
UAV
20%
User Experience
20%
Vertical Applications
20%
Computer Science
5G Mobile Communication
20%
Artificial Intelligence
20%
Computation Offloading
20%
Computation Time
20%
Computing Platform
20%
Industry 4.0
100%
Mobile Network
40%
Multi-Access Edge Computing
20%
Network Application
100%
Performance Improvement
20%
Processing Time
20%
Testbed
20%
Unmanned Aerial Vehicle
20%
User Experience
20%
Engineering
5G Mobile Communication
20%
Artificial Intelligence
20%
Computation Time
20%
Edge Computing
20%
End-Users
20%
Functional Prototype
20%
Network Application
100%
Performance Improvement
20%
Phase Composition
20%
Processing Time
20%
Unmanned Aerial Vehicle
20%
User Experience
20%