Zheng, L.;                     Zheng, J.;                     Chen, Y.;                     Zheng, Y.;                     Lao, W.;                     Chen, S.    
        Gray Brick Wall Surface Damage Detection of Traditional Chinese Buildings in Macau: Damage Quantification and Thermodynamic Analysis Method via YOLOv8 Technology. Appl. Sci. 2025, 15, 6665.
    https://doi.org/10.3390/app15126665
    AMA Style
    
                                Zheng L,                                 Zheng J,                                 Chen Y,                                 Zheng Y,                                 Lao W,                                 Chen S.        
                Gray Brick Wall Surface Damage Detection of Traditional Chinese Buildings in Macau: Damage Quantification and Thermodynamic Analysis Method via YOLOv8 Technology. Applied Sciences. 2025; 15(12):6665.
        https://doi.org/10.3390/app15126665
    
    Chicago/Turabian Style
    
                                Zheng, Liang,                                 Jianyi Zheng,                                 Yile Chen,                                 Yuchan Zheng,                                 Wei Lao,                                 and Shuaipeng Chen.        
                2025. "Gray Brick Wall Surface Damage Detection of Traditional Chinese Buildings in Macau: Damage Quantification and Thermodynamic Analysis Method via YOLOv8 Technology" Applied Sciences 15, no. 12: 6665.
        https://doi.org/10.3390/app15126665
    
    APA Style
    
                                Zheng, L.,                                 Zheng, J.,                                 Chen, Y.,                                 Zheng, Y.,                                 Lao, W.,                                 & Chen, S.        
        
        (2025). Gray Brick Wall Surface Damage Detection of Traditional Chinese Buildings in Macau: Damage Quantification and Thermodynamic Analysis Method via YOLOv8 Technology. Applied Sciences, 15(12), 6665.
        https://doi.org/10.3390/app15126665