Results 21 to 30 of about 19,445 (266)
Characteristics of a Cutoff Cavity Probe Applicable to Crack Detection Using the Forced Resonance Microwave Method [PDF]
Journal of Electromagnetic Engineering and Science, 2020 This paper presents the current characteristics inside a cutoff cavity slot probe applied to crack detection using the forced resonance microwave method (FRMM). Crack detection using FRMM has two stages: preparation and detection.
Ki-Chai Kim +3 more
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Automated bridge crack detection method based on lightweight vision models
Complex & Intelligent Systems, 2022 Deep learning-based bridge crack detection methods have advantages over traditional methods. We proposed an automated bridge crack detection method using lightweight vision models.
Jian Zhang, Songrong Qian, Can Tan
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SUT-Crack: A comprehensive dataset for pavement crack detection across all methods
Data in Brief, 2023 The SUT-Crack dataset (Sharif University of Technology Crack Dataset) presents a collection of high-quality images depicting asphalt pavement cracks specifically designed to facilitate crack detection using various deep learning methods, including ...
Mohammadreza Sabouri, Alireza Sepidbar
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In silico simulation of liver crack detection using ultrasonic shear wave imaging
BMC Medical Imaging, 2018 Background Liver trauma is an important source of morbidity and mortality worldwide. A timely detection and precise evaluation of traumatic liver injury and the bleeding site is necessary.
Erwei Nie +3 more
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Remote detection of stress corrosion cracking: Surface composition and crack detection [PDF]
AIP Conference Proceedings, 2018 Chloride induced stress corrosion cracking (SCC) of austenitic stainless steel is a potential issue in long term dry storage of spent nuclear fuel canisters. In order for SCC to occur there must be a corrosive environment, a susceptible material, and a driving force.
Cliff J. Lissenden +7 more
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IET Image Processing, 2022 Crack detection in building structures is an important approach to evaluating the safety of these structures. However, in some cases under special circumstances, it is very difficult to identify all features of cracks by visual inspection. To tackle this
Ahmad Mahdian Parrany, Mohsen Mirzaei
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Coarse–Fine Combined Bridge Crack Detection Based on Deep Learning
Applied SciencesThe crack detection of concrete bridges is an important link in the safety evaluation of bridge structures, and the rapid and accurate identification and detection of bridge cracks is a prerequisite for ensuring the safety and long-term stable use of ...
Kaifeng Ma +5 more
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Buildings, 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.
Luqman Ali +4 more
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Sensors, 2023 Crack disease is one of the most serious and common diseases in road detection. Traditional manual methods for measuring crack detection can no longer meet the needs of road crack detection. In previous work, the authors proposed a crack detection method
Zhongbo Li, Chao Yin, Xixuan Zhang
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Advances in Civil Engineering, 2022 During the phase of periodic survey, sealed crack and crack in asphalt pavement surface should be detected accurately. Moreover, the capability of identifying these two defects can help reduce the false-positive rate for pavement crack detection. Because
Nhat-Duc Hoang +3 more
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