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This project analyses the key predictors of air turbulence and builds several machine learning models to classify the severity of turbulence based on features identified.
The aim of this study is automatic semantic segmentation in one-shot panoramic x-ray image by using deep learning methods with U-Net Model and binary image analysis in order to provide diagnostic i…