I-DCGAN and TOPSIS-IFP: A simulation generation model for radiographic flaw detection images in light alloy castings and an algorithm for quality evaluation of generated images

The intelligent detection technology driven by X-ray images and deep learning represents the forefront of advanced techniques and development trends in flaw detection and automated evaluation of light alloy castings. However, the efficacy of deep learning models hinges upon a substantial abundance o...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	China foundry 2024-05, Vol.21 (3), p.239-247
Hauptverfasser:	Hou, Ming-jun, Dong, Hao, Ji, Xiao-yuan, Zou, Wen-bing, Xia, Xiang-sheng, Li, Meng, Yin, Ya-jun, Li, Bao-hui, Chen, Qiang, Zhou, Jian-xin
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Alloys Engineering Machines Magnesium castings Manufacturing Materials Engineering Metallic Materials Processes Quality management Research & Development Specialty metals industry
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!