...Jun-Hui Chai; Junping Zhong; Zhengxiang Shen; Zi-jian Zhang; Jian Hu Purpose A new magnetic data-driven approach for the assessment of microstructural properties of steel components in service is provided by deep learning modeling. Design/methodology/approach Based on the interrelated...

.... The study mentions the quantifiable results of the study, such as achieving a 99% accuracy rate and an F-1 score of 0.99, to underline the effectiveness of the proposed model. Originality/value SigBERT presents a significant advancement in SHM by integrating deep learning with a robust transformer model...

... based on deep learning for crack classification in concrete structures. The proposed architecture was identified and classified in less time and with higher accuracy than other traditional and valid architectures in crack detection. This paper used a standard dataset to detect two-class and multi-class...

... is a challenging task for inspectors. Image-based automatic inspection of cracks can be very effective when compared to human eye inspection. With the advancement in deep learning techniques, by utilizing these methods the authors can create automation of work in a particular sector of various industries...