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Crack Detection In Surface Pipeline Images Using Deep Learning · Peerford

Article · Journal · 2026

Crack Detection In Surface Pipeline Images Using Deep Learning

Mutiat Olanrewaju, Joseph D. Akinyemi, Olusanjo Olugbemi Fasola, Kolawole J. Adebayo, Abiodun M. Aibinu, Nancy WOODS

Advances in Multidisciplinary & Scientific Research Journal Publication

Open access · Bronze
International · 3 countries

Read it 10.22624/aims/maths/v14n1p5

Citations: 0from other works
Field-weighted impact: 0.001.00 is the world average for its field and year
Among its field: 24th percentileby citations, against works of its field and year
Authors: 6from 5 institutions

Authors

6 authors across 5 institutions in 3 countries

Mutiat OlanrewajuFirst author
- University of Ibadan (NG)
Joseph D. Akinyemi
Olusanjo Olugbemi Fasola
- Federal University of Technology Minna (NG)
as printed: Olusanjo Fasola
Kolawole J. Adebayo
Abiodun M. Aibinu
- Summit University, Offa (NG)
- Kwara State University (NG)
Nancy WOODSSenior author
- University of Ibadan

(NG)

as printed: Nancy C. Woods

Countries on it

United Kingdom
Ireland
Nigeria

Also on it

ADAPT - Centre for Digital Content Technologyfacility · IE
University of Yorkeducation · GB

Fields

A work can sit in several, each with a score

Infrastructure Maintenance and MonitoringTopic
Advanced Neural Network ApplicationsTopic
Structural Integrity and Reliability AnalysisTopic