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1 s2.0 S0263224122003815 Main by Mohd Danish is a document available to read on EtoBox.

This study presents a new mobile convolutional neural network-based approach for pixel-wise road surface crack detection, aiming to improve performance while being lightweight for mobile systems. The proposed method utilizes MobileNetV2 architecture and demonstrates higher accuracy and efficiency compared to existing techniques, addressing the growing need for effective road maintenance solutions. The research highlights the importance of timely crack detection to reduce maintenance costs and enhance road s

Author

Mohd Danish

Language

EN