Work

AI-Powered Inspection: A Computer Vision System for Efficient Defects Detection in Underground Infrastructures

Year: 2025

Type: article

Source: ScholarWorks @ The University of New Orleans (The University of New Orleans)

Author: Alshawi, Rasha

Language: English

Topic: Infrastructure Maintenance and Monitoring

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities, Reduced inequalities

Open Access status: closed

OpenAlex ID: W7045384124

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