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Advances in metal casting technology: A review of State of the art, challenges and trends—Part II: Technologies new and revived
D Lehmhus - Metals, 2024 - mdpi.com
The present text is the second part of an editorial written for a Special Issue entitled
Advances in Metal Casting Technology. The first part, which was published in November …
Advances in Metal Casting Technology. The first part, which was published in November …
Automated porosity characterization for aluminum die casting materials using x-ray radiography, synthetic x-ray data augmentation by simulation, and machine …
Detection and characterization of hidden defects, impurities, and damages in homogeneous
materials like aluminum die casting materials, as well as composite materials like Fiber …
materials like aluminum die casting materials, as well as composite materials like Fiber …
[HTML][HTML] Artificial Intelligence for Non-Destructive Imaging in Composite Materials
(1) Background: The purpose of this review is to explore how advanced sensor technologies
and AI-driven methods, like machine learning and image processing, are sha** non …
and AI-driven methods, like machine learning and image processing, are sha** non …
[HTML][HTML] High-quality, low-quantity: A data-centric approach to deep learning performance optimization in digital X-Ray radiography
The accuracy of identifying defects using specialized deep learning models can be affected
by the circumstances in which the training data is curated. This is especially evident in digital …
by the circumstances in which the training data is curated. This is especially evident in digital …
Exploring the role of explainable AI in the development and qualification of aircraft quality assurance processes: A case study
B Milcke, P Dinglinger, J Holtmann - World Conference on Explainable …, 2024 - Springer
Quality assurance using non-destructive inspection (NDI) is an essential domain in aircraft
manufacturing that can benefit greatly from the latest developments in artificial intelligence …
manufacturing that can benefit greatly from the latest developments in artificial intelligence …
AI-Driven Synthetization Pipeline of Realistic 3D-CT Data for Industrial Defect Segmentation
R Tenscher-Philipp, T Schanz, F Harlacher… - Journal of …, 2024 - Springer
Training data is crucial for any artificial intelligence model. Previous research has shown
that various methods can be used to enhance and improve AI training data. Taking a step …
that various methods can be used to enhance and improve AI training data. Taking a step …