To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …

In recent years, the optimization community has witnessed a surge in the popularity of
population-based optimization methods. However, many of these methods suffer from …

Ant colony optimization (ACO) is a metaheuristic algorithm that handles complex
optimization problems. ACO simulates the behavior of ants foraging in the real world to find …

In designing control systems, it is known that fractional-order proportional integral derivative
(FOPID) controllers often provide greater flexibility than conventional proportional integral …

Web mining plays a salient role in today's era of an interconnected network to comprehend
the manner in which users browse the websites. Web mining can be classified into three …

Clustering has a wide range of applications in various industries. In different research ideas,
bionic algorithms have heuristic help for clustering research. However, most of the clustering …

Robot path planning is one of the most challenging tasks in robotics. Various nature-inspired
algorithms are available for robot path planning, but here we have considered the ACO …

This study presents a novel hybrid deep neural network (DNN) with the White Shark
optimization (WSO) algorithm to predict and optimize the gas sensing performance of Ni …

Different energy-dissipating devices have been proposed in the literature to attenuate the
destructive effects of base excitations over fluid storage tanks. These structures have …

Microarray technology is beneficial in terms of diagnosing various diseases, including
cancer. Despite all DNA microarray benefits, the high number of genes versus the low …