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<title>Journal of Computing in Civil Engineering</title>
<link>http://yetl.yabesh.ir/yetl1/handle/yetl/19002</link>
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<pubDate>Mon, 14 Sep 2026 19:18:43 GMT</pubDate>
<dc:date>2026-09-14T19:18:43Z</dc:date>
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<title>Journal of Computing in Civil Engineering</title>
<url>https://localhost:443/yetl1/bitstream/id/184292/</url>
<link>http://yetl.yabesh.ir/yetl1/handle/yetl/19002</link>
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<title>YOLO-BFID: Real-Time Building Facade Inspection by Using an Advanced Artificial Vision Model Integrated with Drone Technology</title>
<link>http://yetl.yabesh.ir/yetl1/handle/yetl/4314527</link>
<description>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 ...
</description>
<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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<item>
<title>Addressing Data Scarcity in GPR Road Defect Detection: A Novel Framework Combining Stable Diffusion and Efficient GCP-YOLO</title>
<link>http://yetl.yabesh.ir/yetl1/handle/yetl/4314526</link>
<description>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 ...
</description>
<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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<title>ArchPlanVQA: Benchmark and Comprehensive Evaluation of Vision-Language Models for Understanding Architectural Floor Plan CAD Drawings</title>
<link>http://yetl.yabesh.ir/yetl1/handle/yetl/4314525</link>
<description>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 ...
</description>
<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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<title>A Data-Driven Assessment and Roadmap for Improving Risk Management Maturity in the Australian Construction Industry</title>
<link>http://yetl.yabesh.ir/yetl1/handle/yetl/4314524</link>
<description>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 ...
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<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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