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A framework for single and multiple anomalies localization in pipelines
Sultan Anwar
,
Tarek Sheltami
*
, Elhadi Shakshuki
, Menshawi Khamis
*
Corresponding author for this work
Department of Computer Engineering
Interdisciplinary Research Center for Smart Mobility and Logistics
Research output
:
Contribution to journal
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Article
›
peer-review
10
Scopus citations
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Social Sciences
Natural Disasters
100%
Health Risk
100%
Energy Demand
100%
Disaster Management
100%
Marine Life
100%
Wear and Tear
100%
Transport
100%
Natural Resources
100%
Geographic Information System
100%
Anomaly Detection
100%
Engineering
Hazardous Materials Spills
100%
Effective Solution
50%
Negative Pressure
50%
Production Site
50%
Localization Accuracy
50%
Detection Technique
50%
Additional Cost
50%
Disaster Management
50%
Pressure Point
50%
Point Analysis
50%
Energy Demand
50%
Natural Resources
50%
Economic Loss
50%
Anomaly Detection
50%
Elastic Wave
50%
Earth and Planetary Sciences
Elastic Wave
100%
Natural Disaster
100%
Geographic Information System
100%
Energy Demand
100%
Disaster Management
100%
Transportation
100%
Natural Resources
100%
Computer Science
Anomaly Detection
100%
Effective Solution
100%
Production Site
100%
Geographic Information System
100%