Work

Artificial Intelligence Powered Non-Destructive Testing for Inline Inspection

Year: 2024

Type: conference-paper

DOI: 10.2118/222707-ms

Authors: Ahmed Al-Jarro, Tarek M. Mostafa, Guang Ooi, Moutazbellah Khater, Fahd Mohamed, Mohammad Ba’adani, Mohammed Abdulmohsin, Thamer Bahky, Khalid Ghamdi, Salah Zahrani, Hakan Bagci, Shehab Ahmed

Institutions: Saudi Aramco (Saudi Arabia), Saudi Aramco (United States), King Abdullah University of Science and Technology

Language: English

Topic: Non-Destructive Testing Techniques

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4404013801

FWCI:

Cites: 13

Cited by:

Related to: 10