Schematic diagram of the bilinear interpolation algorithm. by Yuxi Zhao (1797436)

Comparison of target detection algorithms. by Diansheng Zhang (22640973)

Time-domain and frequency-domain waveform diagrams of AE signals collected from the damaged area. by Li Jiaqing (21212614)

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Schematic representation of selection of neighboring pixels in FAST algorithm. by Muhammad Adeel Akram (20477098)

Strain perturbation caused by structural damage. by Yanqing Men (20283876)

Evaluation of performance of different models in fatigue crack type identification. by Li Jiaqing (21212614)

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Fatigue crack identification accuracy of steel bridge panel. by Li Jiaqing (21212614)

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AE positioning projection. by Li Jiaqing (21212614)

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K-SVD dictionary learning process. by Li Jiaqing (21212614)

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Evaluation of denoising effect. by Li Jiaqing (21212614)

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Comparison of AE signal time-frequency waveform under different conditions. by Li Jiaqing (21212614)

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Time-domain and frequency-domain waveform diagrams of AE signals collected from undamaged areas. by Li Jiaqing (21212614)

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Test equipment. by Li Jiaqing (21212614)

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Architecture diagram of the VGG-16-SSD algorithm. by Diansheng Zhang (22640973)

The role of SOCE in mediating UVB-induced tight junction barrier damage. by Kaiyi Zhou (2553352)

Proposed hybrid GA- ML algorithms. by Ankur Kumar (1357440)

“…Five ML algorithms-LR, RF, SVM, AB, and DT- were tested using two paradigms: (1) default classifiers and (2) hybrid GA-ML models- GA-RF, GA-LR, GA-SVM, GA-DT, and GA-AB. …”

Proposed GA-ML algorithms pseudocode. by Ankur Kumar (1357440)

“…Five ML algorithms-LR, RF, SVM, AB, and DT- were tested using two paradigms: (1) default classifiers and (2) hybrid GA-ML models- GA-RF, GA-LR, GA-SVM, GA-DT, and GA-AB. …”

Ghost detect module. by Jiexiang Yang (19980594)

“…<div><p>Road crack detection is critical to global infrastructure maintenance and public safety, and complex background environments and nonlinear damage crack patterns challenge the need for real-time, efficient, and accurate detection.This paper proposes a lightweight yet robust Flexi-YOLO model based on the YOLOv8 algorithm. …”

<b>Fault Identification Technology of Wind Turbine Blade Damage Sound Source Localization and Multimodal Data Fusion Based on Voiceprint Monitoring</b> by Liang Wang (21598952)

“…<p dir="ltr">nt. Finally, damage sound source localization and fault classification are achieved using the Time Difference of Arrival (TDOA) algorithm and Convolutional Neural Network (CNN). …”

(a) Cluster of Interest Extracted from the Clustered Image; (b) Cluster of Interest converted into Grey Scale; (c) Grey Scale Image Converted into Black/White; (d) Object of Intere... by Claudia Barile (20678698)

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