The advancement of medical imaging has led to the acquisition of image data from multiple
modalities, necessitating the development of robust algorithms for accurate and reliable …

Currently, accidents in civil engineering buildings occur frequently, resulting in significant
economic damage and a large number of casualties. Therefore, it is particularly important to …

Acoustic signal detection technology has significant advantages in detecting the leakage
and bursting of heat exchange pipes in boilers. To address the current lack of sound signal …

Considering the variability and complexity of rotating machinery fault diagnosis, the fault
diagnosis information carried out by a single model is not comprehensive and the fault …

Corrosion significantly impacts the safety of steel structures, and neglecting its influence can
lead to serious engineering accidents. In this study, a novel method for identifying the extent …

Most of the existing studies on roll surface defects focus on qualitative detection and lack
quantitative analysis, while the commonly used methods for detecting the three-dimensional …

Traditional image fusion techniques generally use symmetrical methods to extract features
from different sources of images. However, these conventional approaches do not resolve …

In the ever-evolving medical imaging landscape, the accurate diagnosis of brain tumors
presents formidable challenges. Our study introduces a groundbreaking approach …

An improved empirical mode decomposition method is proposed to address the issues of
modal aliasing and endpoint effects that affect the accuracy of fault diagnosis in traditional …

In this work, an identification method of corrosion extent of Q235 steel plate is proposed
using the piezoelectric sensor. Numerical analysis for the transmission of Lamb wave on …