A Hybrid Cracked Tiers Detection System Based on Adaptive Correlation Features Selection and Deep Belief Neural Networks

• Main Authors: Al-juboori A.M., Alsaeedi A.H., Nuiaa R.R., Alyasseri Z.A.A., Sani N.S., Hadi S.M., Mohammed H.J., Musawi B.A., Amin M.M.
• Other Authors: 56071367500
• Format: Article
• Published: MDPI 2024
• Subjects: deep belief neural networks; feature extraction; feature selection; safe driving; tire defect detection

Tire defects are crucial for safe driving. Specialized experts or expensive tools such as stereo depth cameras and depth gages are usually used to investigate these defects. In image processing, feature extraction, reduction, and classification are presented as three challenging and symmetric ways t...