Shearography and thermography are optical techniques, both proven to be valuable tools
for material nondestructive evaluation. Papers on these topics, however, are scattered and …

The theory of complex spherical fuzzy sets (CSFSs) is a mixture of two theories, ie, complex
fuzzy sets (CFSs) and spherical fuzzy sets (SFSs), to cope with uncertain and unreliable …

Based on Salp Swarm Algorithm (SSA) and Slime Mould Algorithm (SMA), a novel hybrid
optimization algorithm, named Hybrid Slime Mould Salp Swarm Algorithm (HSMSSA), is …

The coverage optimization problem of wireless sensor network has become one of the hot
topics in the current field. Through the research on the problem of coverage optimization, the …

This paper presents modeling and parameter identification of the Duhem model to describe
the hysteresis in the Piezoelectric actuated nano-stage. First, the parameter identification …

Fault detection in analog circuits is of great importance to predict the correct operation of the
circuit. For this purpose, soft computing techniques such as those based on the application …

In the framework of nondestructive eddy-current testing, an inversion method is proposed. It
relies on a metamodel-based optimization method: a fast optimization by means of a particle …

The main difference between single and multi-objective optimizations using particle swarm
optimization is how the guider to locate the global optimal and Pareto optimal solutions are …

In this paper, a feature fusion method with guiding training (FGT‐Net) is constructed to fuse
image data and numerical data for some specific recognition tasks which cannot be …

In this Letter, detection/classification of defects are treated in a fuzzy way considering
classes of defects to a certain depth characterized by typical ranges of fuzzy similarities. So …