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View article: BladeSynth: A High-Quality Rendering-Based Synthetic Dataset for Aero Engine Blade Defect Inspection
BladeSynth: A High-Quality Rendering-Based Synthetic Dataset for Aero Engine Blade Defect Inspection Open
The integration of artificial intelligence in industry is crucial for realizing Industry 4.0; however, the lack of industrial datasets remains a significant challenge. While several generative AI methods have been proposed to create synthe…
View article: Anomaly Detection for Industrial Applications, Its Challenges, Solutions, and Future Directions: A Review
Anomaly Detection for Industrial Applications, Its Challenges, Solutions, and Future Directions: A Review Open
Anomaly detection from images captured using camera sensors is one of the mainstream applications at the industrial level. Particularly, it maintains the quality and optimizes the efficiency in production processes across diverse industria…
View article: Aero-Engine Blade Defect Detection: A Systematic Review of Deep Learning Models
Aero-Engine Blade Defect Detection: A Systematic Review of Deep Learning Models Open
Aero-engine blade defect detection is a crucial task in ensuring the safety and reliability of aircraft. The visual inspection of aero-engine blades is a complex process that requires extensive knowledge and experience. This paper presents…