Real-Time High-Performance Laser Welding Defect Detection by Combining ACGAN-Based Data Enhancement and Multi-Model Fusion

Research article (Sensors, 2021) · cited 33× · AI/ML
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Real-Time High-Performance Laser Welding Defect Detection by Combining ACGAN-Based Data Enhancement and Multi-Model Fusion

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Real-Time High-Performance Laser Welding Defect Detection by Combining ACGAN-Based Data Enhancement and Multi-Model Fusion is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Real-Time High-Performance Laser Welding Defect Detection by Combining ACGAN-Based Data Enhancement and Multi-Model Fusion. Retrieved May 24, 2026, from https://4ort.xyz/entity/real-time-high-performance-laser-welding-defect-detection-by-combining-acgan-based-data-enhancement-and-multi-model-fusi
MLA “Real-Time High-Performance Laser Welding Defect Detection by Combining ACGAN-Based Data Enhancement and Multi-Model Fusion.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/real-time-high-performance-laser-welding-defect-detection-by-combining-acgan-based-data-enhancement-and-multi-model-fusi.
BibTeX @misc{4ortxyz_real-time-high-performance-laser-welding-defect-detection-by-combining-acgan-based-data-enhancement-and-multi-model-fusi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Real-Time High-Performance Laser Welding Defect Detection by Combining ACGAN-Based Data Enhancement and Multi-Model Fusion}}, year = {2026}, url = {https://4ort.xyz/entity/real-time-high-performance-laser-welding-defect-detection-by-combining-acgan-based-data-enhancement-and-multi-model-fusi}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Real-Time High-Performance Laser Welding Defect Detection by Combining ACGAN-Based Data Enhancement and Multi-Model Fusion — https://4ort.xyz/entity/real-time-high-performance-laser-welding-defect-detection-by-combining-acgan-based-data-enhancement-and-multi-model-fusi (retrieved 2026-05-24)

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