- Automated pavement detection and artificial intelligence pavement image data processing technology. In: Automation in Construction, v. 168 (Dezember 2024). (2024):
- Intelligent detection and mileage positioning of multiple distresses using two-step deep learning. In: Automation in Construction, v. 166 (Oktober 2024). (2024):
- Automated instance segmentation of asphalt pavement patches based on deep learning. In: Structural Health Monitoring. :
- Pixel-level detection of multiple pavement distresses and surface design features with ShuttleNetV2. In: Structural Health Monitoring, v. 23, n. 2 (Juli 2023). (2023):
- Automated Detection of Pavement Manhole on Asphalt Pavements with an Improved YOLOX. In: Journal of Infrastructure Systems, v. 29, n. 4 (Dezember 2023). (2023):
- Study of Bonding Property of Warm Mix Asphalt Based on Binder Bond Strength and Molecular Dynamics Simulations. In: Journal of Materials in Civil Engineering (ASCE), v. 35, n. 11 (November 2023). (2023):
- Automated Pixel-Level Detection of Expansion Joints on Asphalt Pavement Using a Deep-Learning-Based Approach. In: Structural Control and Health Monitoring, v. 2023 (Februar 2023). (2023):
- Characterization of various modified asphalts using force ductility test with “8“ shaped mold and straight mold. In: Construction and Building Materials, v. 356 (November 2022). (2022):
- Intelligent pixel‐level detection of multiple distresses and surface design features on asphalt pavements. In: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 13 (August 2022). (2022):