Journal of Computing in Civil Engineering http://yetl.yabesh.ir/yetl1/handle/yetl/19002 2026-09-14T19:18:46Z YOLO-BFID: Real-Time Building Facade Inspection by Using an Advanced Artificial Vision Model Integrated with Drone Technology http://yetl.yabesh.ir/yetl1/handle/yetl/4314527 YOLO-BFID: Real-Time Building Facade Inspection by Using an Advanced Artificial Vision Model Integrated with Drone Technology Cao, Minh-Tu; Wang, Wei-Chih; Shen, Shu-Li AbstractThis study presented the You Only Look Once (YOLO) for building façade inspection with drones (YOLO-BFID), an enhanced version of YOLOv11 designed to improve small detection and operate efficiently across challenging real-world scenarios. The ... 2026-01-01T00:00:00Z Addressing Data Scarcity in GPR Road Defect Detection: A Novel Framework Combining Stable Diffusion and Efficient GCP-YOLO http://yetl.yabesh.ir/yetl1/handle/yetl/4314526 Addressing Data Scarcity in GPR Road Defect Detection: A Novel Framework Combining Stable Diffusion and Efficient GCP-YOLO Cui, Minxing; Du, Yanliang; Wu, Difei; Sun, Lijun; Yan, Yu AbstractThe application of deep learning to ground penetrating radar (GPR) detection of urban road subsurface defects is often limited by the scarcity of real-world data and high computational costs. To address this, we propose a novel framework that ... 2026-01-01T00:00:00Z ArchPlanVQA: Benchmark and Comprehensive Evaluation of Vision-Language Models for Understanding Architectural Floor Plan CAD Drawings http://yetl.yabesh.ir/yetl1/handle/yetl/4314525 ArchPlanVQA: Benchmark and Comprehensive Evaluation of Vision-Language Models for Understanding Architectural Floor Plan CAD Drawings Li, Pengyang; Chen, Hainan; Zheng, Zhuang; He, Juntao; Yang, Hai AbstractArchitectural plan computer-aided design (CAD) drawings constitute fundamental references for building whole life-cycle management. However, efficient querying, retrieval, and analysis of these drawings across departments are frequently hindered ... 2026-01-01T00:00:00Z A Data-Driven Assessment and Roadmap for Improving Risk Management Maturity in the Australian Construction Industry http://yetl.yabesh.ir/yetl1/handle/yetl/4314524 A Data-Driven Assessment and Roadmap for Improving Risk Management Maturity in the Australian Construction Industry Zagia, Faranak; Kajewski, Stephen; Omrani, Sara; Motamedisedeh, Omid; Rahimian, Farzad AbstractThis study presents a comprehensive assessment of risk management maturity in the Australian construction industry using a structured, data-driven approach based on the generic risk maturity model (GRMM). Although effective risk management is ...Practical ApplicationsThis paper presents a practical, data-driven progression roadmap that construction organizations can use to systematically improve their risk management maturity. The roadmap translates the assessment of 25 risk management criteria ... 2026-01-01T00:00:00Z