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- W4289926411 abstract "Rising along with our country economic development, national planning of highway mileage is also increasing, due to some factors such as environment, human unavoidably lead to damage the road, road crack is one of the damage, therefore to identify the timely detection of road cracks and repair is necessary, but the traditional artificial way of photo detection, the efficiency of underground, The coverage is narrow and the accuracy rate is low. Based on convolutional neural network, this paper proposes a road crack identification method based on deep learning to achieve fast and accurate crack identification, which is of far-reaching significance to people’s life and production." @default.
- W4289926411 created "2022-08-06" @default.
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- W4289926411 date "2022-06-24" @default.
- W4289926411 modified "2023-09-26" @default.
- W4289926411 title "Road Crack Recognition based on Deep Learning" @default.
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- W4289926411 doi "https://doi.org/10.1109/icaica54878.2022.9844540" @default.
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