In recent years, many innovative optimization algorithms have been developed. These
algorithms have been employed to solve structural damage detection problems as an …

Owing to ever-increasing complexity of engineering structures, develo** a methodology
for the early detection of defects has become crucial to ensure their long-term safety and …

Detecting and locating damage is a crucial endeavor within the field of structural integrity.
While Artificial Neural Networks (ANNs) have shown promise in this regard, they have …

Intelligent fault diagnosis (IFD) techniques are important for fault analysis. It is challenging to
constitute a real-time adaptable technique that can handle different types of fault conditions …

In the application of metaheuristic algorithms (MAs) to complicated optimization problem
solving, it is significant to balance the exploitation and exploration to obtain a good near …

Recently, artificial intelligence has been widely applied in the field of structural damage
detection. In this study, a back-propagation neural network (BPNN) hybrid with an improved …

Vibration-based structural damage detection methods using optimization techniques have
increased extensively in recent decades due to the rapid development of swarm intelligence …

The emphasis on sustainable development is increasingly recognized as a global
imperative, leading to significant transformations in methods and technologies within the …

Cryptocurrency prices have the characteristic of high volatility, which has a specific
resistance to cryptocurrency price prediction. Therefore, the appropriate cryptocurrency price …

This study presents a new approach based on shearlet transform for the first time to detect
damages, and compare it with the wavelet, Laplacian pyramid, curvelet, and contourlet …