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What is Real-Time Pavement Crack Detection Using DCNN about?

This research presents a novel Deep Convolutional Neural Network (DCNN) approach for real-time pavement crack detection, addressing the limitations of traditional methods that struggle with accuracy and adaptability. The proposed model incorporates advanced training strategies and a feedback mechanism, enhancing its ability to learn from misclassifications and improve over time. The findings indicate significant improvements in detection accuracy and processing speeds, promising practical applications for u

Author

Бахытжан Куламбаев

Language

EN