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