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  4. Applied Artificial Intelligence for Industrial Nondestructive Evaluation NDE4.0
 
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2025
Anthology
Title

Applied Artificial Intelligence for Industrial Nondestructive Evaluation NDE4.0

Title Supplement
Special Issue Reprint
Abstract
This Special Issue reprint, "Applied Artificial Intelligence for Industrial Nondestructive Evaluation" (NDE4.0), brings together a curated selection of research articles that demonstrate the growing role of artificial intelligence in enhancing industrial reliability and safety. Motivated by the increasing complexity of materials, processes, and inspection environments, this reprint addresses how intelligent systems, particularly machine learning and deep learning, can support and advance nondestructive evaluation methods.
This collection aims to provide insight into state-of-the-art techniques and practical applications, where AI enables faster, more accurate, and scalable detection of defects. It is intended for researchers, engineers, industry professionals, and academic audiences interested in the intersection of AI and industrial inspection technologies.
As Guest Editors, we thank all contributing authors for their valuable work and collaboration, and we express our gratitude to the reviewers and editorial team at Applied Sciences for their support in bringing this reprint to completion.
Editor(s)
Osman, Ahmad  
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP  
Kaftandjian, Valérie
National Institute of Applied Sciences of Lyon Villeurbanne France
Publisher
MDPI  
Open Access
File(s)
Download (44.45 MB)
Rights
CC BY-NC 4.0: Creative Commons Attribution-NonCommercial
DOI
10.3390/books978-3-7258-5128-7
10.24406/publica-5558
Additional full text version
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Language
English
Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP  
Keyword(s)
  • Nondestructive Testing 4.0

  • Artifical Intelligence

  • Deep Learning

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