Recognition accuracy results.

Recognition accuracy results.

<div><p>Detecting cracks in asphalt concrete slabs is challenging due to environmental factors like lighting changes, surface reflections, and weather conditions, which affect image quality and crack detection accuracy. This study introduces a novel deep learning-based anomaly model for...

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Bibliographic Details
Main Author: Kai Hu (311882) (author)
Other Authors: Yang Ling (289502) (author), Jie Liu (15128) (author)
Published: 2025
Subjects:
Biochemistry
Physiology
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
processed using denoising
novel deep learning
matthews correlation coefficient
level residual connections
improved xception network
improve information transmission
image recognition technology
enhance feature weighting
dynamic attention mechanism
data augmentation techniques
asphalt concrete slabs
affect image quality
adaptive activation function
improved model achieves
based anomaly model
varying lighting conditions
significantly boosting accuracy
effective crack detection
crack detection accuracy
crack detection
core model
weather conditions
surface reflections
study introduces
remaining stable
panel images
large dataset
fresh approach
challenging due
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