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101
Flexible eddy current array measurement system for crack detection in weld zones of steel structures
Published 2025-07-01“…Abstract Crack detection in weld zones of steel structures is essential for ensuring structural safety and reliability. …”
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102
Concrete crack detection using ridgelet neural network optimized by advanced human evolutionary optimization
Published 2025-02-01Subjects: Get full text
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103
Crack Defect Detection Method for Plunge Pool Corridor Based on the Improved U-Net Network
Published 2025-05-01Subjects: “…crack detection…”
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104
Automatic Detection of Landslide Surface Cracks from UAV Images Using Improved U-Network
Published 2025-06-01Subjects: “…landslide crack detection…”
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105
Solar PV’s Micro Crack and Hotspots Detection Technique Using NN and SVM
Published 2021-01-01“…In this study, the effect of the hotspot is studied and a comparative fault detection method is proposed to detect different PV modules affected by micro-cracks and hotspots. …”
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106
Separating the Location and Severity Effects in Frequency-Based Crack Detection Using the Dynamic Stiffness Matrix
Published 2025-05-01Subjects: “…crack detection…”
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107
Research of Structure Tuning Resonance Method of Spur Gear Micro Crack Defect Detection System
Published 2019-01-01“…Taking the spur gear as research object, innovatively applying the amplification effect of resonance on weak vibration signals, a structural tuning resonance method for detecting micro cracks defect in gears is proposed. …”
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108
A dual-domain perception gate-controlled adaptive fusion algorithm for road crack detection
Published 2025-07-01“…Abstract Road crack detection presents critical challenges, including diverse defect patterns and complex anomaly characteristics. …”
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109
A Machine-Learning-Based and IoT-Enabled Robot Swarm System for Pipeline Crack Detection
Published 2024-12-01Subjects: Get full text
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110
Optimising Concrete Crack Detection: A Study of Transfer Learning with Application on Nvidia Jetson Nano
Published 2024-12-01Subjects: Get full text
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111
Enhancing Crack Segmentation Network with Multiple Selective Fusion Mechanisms
Published 2025-03-01Subjects: “…crack detection…”
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112
Monitoring breathing cracks of a beam-like bridge subjected to moving vehicle using wavelet spectrum
Published 2013-07-01Subjects: Get full text
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113
Artificial Intelligence Based Determination of Cracks in Eggshell Using Sound Signals
Published 2022-06-01Subjects: “…cracked egg detection…”
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114
Numerical and experimental studies for crack detection of a beam-like structure using element stiffness index distribution method
Published 2017-09-01Subjects: “…crack detection…”
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115
Multiple crack identification in stepped beam by measurements of natural frequencies
Published 2014-06-01Subjects: Get full text
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116
Vibration-Based, Nondestructive Methodology for Detecting Multiple Cracks in Bending-Torsion Coupled Laminated Composite Beams
Published 2018-01-01“…This paper presents a method for detection of multiple cracks present in laminated composite bending-torsion coupled cantilevered beams using natural frequency data, a type of Nondestructive testing (NDT). …”
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117
FCN attention enhancing asphalt pavement crack detection through attention mechanisms and fully convolutional networks
Published 2025-07-01Subjects: Get full text
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118
Research on Concrete Crack and Depression Detection Method Based on Multi-Level Defect Fusion Segmentation Network
Published 2025-05-01“…The experimental results verify the feasibility of the model in the research field of crack and dent detection in concrete structures.…”
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119
Design and Research of a Safety Inspection Robot for Detecting Cracks in Ventilation Shaft Walls of Coal Mines
Published 2025-03-01Subjects: “…detecting cracks…”
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120
Investigation into fatigue micro-crack identification of steel bridge decks based on acoustic emission detection technology.
Published 2025-01-01“…To address the non-stationary nature of acoustic emission (AE) signals during crack initiation and propagation, this study combines the K-singular value decomposition (K-SVD) dictionary learning algorithm with convolutional neural networks (CNN) to enhance AE signal processing and fatigue crack detection. …”
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