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Bibliometric analysis and review of deep learning-based crack detection literature published between 2010 and 2022
The use of deep learning (DL) in civil inspection, especially in crack detection, has
increased over the past years to ensure long-term structural safety and integrity. To achieve …
increased over the past years to ensure long-term structural safety and integrity. To achieve …
High-resolution infrastructure defect detection dataset sourced by unmanned systems and validated with deep learning
B Zhao, X Zhou, G Yang, J Wen, J Zhang, J Dou… - Automation in …, 2024 - Elsevier
Visual inspection of civil infrastructures has traditionally been a crucial yet labor-intensive
task. In contrast, unmanned robots equipped with deep learning-based visual defect …
task. In contrast, unmanned robots equipped with deep learning-based visual defect …
Deep learning for surface crack detection in civil engineering: A comprehensive review
H Zhuang, Y Cheng, M Zhou, Z Yang - Measurement, 2025 - Elsevier
Ensuring the safety of civil engineering structures requires the adoption of advanced crack
detection techniques, with deep learning offering a highly effective solution to overcome the …
detection techniques, with deep learning offering a highly effective solution to overcome the …
Computer Vision based inspection on post-earthquake with UAV synthetic dataset
The area affected by the earthquake is vast and often difficult to entirely cover, and the
earthquake itself is a sudden event that causes multiple defects simultaneously, that cannot …
earthquake itself is a sudden event that causes multiple defects simultaneously, that cannot …
AugMoCrack: Augmented morphological attention network for weakly supervised crack detection
Most crack‐detection methods adopt a pixel‐level segmentation‐based approach, which
requires considerable time and complexity to detect the pixel area of the crack. Unlike a …
requires considerable time and complexity to detect the pixel area of the crack. Unlike a …
Structural crack detection, segmentation, and classification: a review
In the current market, there is phenomenal growth in construction and real estate. The
majority of people are likely to build or invest in these civil structures for longterm shelter or …
majority of people are likely to build or invest in these civil structures for longterm shelter or …
AUTOMATION OF CRACK DETECTION AND QUANTIFICATION IN CIVIL INFRASTRUCTURE FACILITIES USING DEEP LEARNING TECHNIQUES
L Ali - 2023 - scholarworks.uaeu.ac.ae
Cracks are the earliest signs of structural deterioration that reduce the lifespan and reliability
of structures and can lead to severe damage. Assessment and monitoring of the facilities are …
of structures and can lead to severe damage. Assessment and monitoring of the facilities are …
Monitoring and Analysis of Surface Cracks in Concrete Using Convolutional Neural Network
Reinforced concrete is widely used for construction of infrastructure projects like bridges,
buildings, highways, dams, and power plants etc. Monitoring structural health of …
buildings, highways, dams, and power plants etc. Monitoring structural health of …
Klasifikasi penyakit tanaman pangan berdasarkan citra daun menggunakan Convolutional Neural Network
DA Pangestu - 2024 - etheses.uin-malang.ac.id
Skripsi ini saya persembahkan dengan penuh cinta dan rasa hormat kepada kedua orang
tua saya, Wajib dan Suratini, yang selalu memberikan dukungan tanpa henti, doa yang …
tua saya, Wajib dan Suratini, yang selalu memberikan dukungan tanpa henti, doa yang …