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End-to-end tire defect detection model based on transfer learning techniques
Visual inspection of defective tires post-production is vital for human safety, as faulty tires
can lead to explosions, accidents, and loss of life. With the advancement of technology …
can lead to explosions, accidents, and loss of life. With the advancement of technology …
Tire defect detection model using machine learning
Visual inspection of defective tires after manufacturing is critical for saving human lives since
defective tires may explode and cause many accidents. Automated tire defect detection is …
defective tires may explode and cause many accidents. Automated tire defect detection is …
Infrared-induced Laser Shearography: Enhanced Multimodal Features Recognition for Interfacial Defects in SIR/GFRP Composite Structures
The detection capability of laser shearography has not been fully developed due to
neglecting the overall dynamic deformation process. In this article, we propose an infrared …
neglecting the overall dynamic deformation process. In this article, we propose an infrared …
Classification of the brain metastases based on a new 3D deep learning architecture
Malignant tumors can cause to brain tumors by the spreading to the brain. When the primary
site of origin of brain metastases are differentiated by deep learning algorithms, doctors can …
site of origin of brain metastases are differentiated by deep learning algorithms, doctors can …
Bubble defect detection for tire shearography images with transfer learning based deep CNN models
Safety of drivers and passengers is an important quality assurance aim of the tire
manufacturers. Tires that have air bubbles in them are a frequent cause of accidents …
manufacturers. Tires that have air bubbles in them are a frequent cause of accidents …