Algorithms and Techniques for the Structural Health Monitoring of Bridges: Systematic Literature Review. [PDF]
Sonbul OS, Rashid M.
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On Smart Geometric Non-Destructive Evaluation: Inspection Methods, Overview, and Challenges. [PDF]
Jaber A +6 more
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Application of Deep Learning Networks to Segmentation of Surface of Railway Tracks. [PDF]
Bojarczak P, Nowakowski W.
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SDFormer: A Novel Transformer Neural Network for Structural Damage Identification by Segmenting the Strain Field Map. [PDF]
Li Z, Xu P, Xing J, Yang C.
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A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring. [PDF]
Hassani S, Dackermann U.
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Survey of Decomposition-Reconstruction-Based Hybrid Approaches for Short-Term Traffic State Forecasting. [PDF]
Chen Y, Wang W, Hua X, Zhao.
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Glass-Adhesive-Steel Joint Inspection Using Mechanic and High Frequency Electromagnetic Waves. [PDF]
Kowalczyk J +3 more
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Study and Optimal Design of the Integrated 37° Unidirectional SV-EMAT for Rapid Rail Flaw Detection. [PDF]
Yuan W.
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Research on geometric parameter quantification of rail rolling contact fatigue crack damage based on 2D optical image. [PDF]
Wang Y, Miao B, Zhang Y, Huang Z.
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A multi-scale adaptive framework for high-precision rail track damage detection via StarNet and bidirectional feature pyramid network. [PDF]
Pang Y +10 more
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