Zhaoyun Sun
- (2023): Airfield concrete pavement joint detection network based on dual-modal feature fusion. In: Automation in Construction, v. 151 (Juli 2023).
- (2023): Feature representation improved Faster R-CNN model for high efficiency pavement crack detection. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 50, n. 2 (Februar 2023).
- (2016): Evaluation and Comparison of Real-Time Laser and Electric Sand-Patch Pavement Texture-Depth Measurement Methods. In: Journal of Transportation Engineering, v. 142, n. 7 (Juli 2016).
- (2021): Assessment of importance-based machine learning feature selection methods for aggregate size distribution measurement in a 3D binocular vision system. In: Construction and Building Materials, v. 306 (November 2021).
- (2022): Detecting Potholes in Asphalt Pavement under Small-sample Conditions Based on Improved Faster Region-based Convolution Neural Networks. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 49, n. 2 (Februar 2022).
- (2021): Crack Grid Detection and Calculation Based on Convolutional Neural Network. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 48, n. 9 (September 2021).
- (2022): Asphalt Pavement Friction Coefficient Prediction Method Based on Genetic-Algorithm-Improved Neural Network(GAI-NN) Model. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 49, n. 1 (Januar 2022).
- (2020): Quantitative evaluation for shape characteristics of aggregate particles based on 3D point cloud data. In: Construction and Building Materials, v. 263 (Dezember 2020).
- (2020): Pavement aggregate shape classification based on extreme gradient boosting. In: Construction and Building Materials, v. 256 (September 2020).
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