In the last few years, methods falling within the family of randomization-based machine
learning models have grasped a great interest in the Artificial Intelligence community, mainly …

Kernel extreme learning machine (KELM) has been widely used in the fields of classification
and identification since it was proposed. As the parameters in the KELM model have a …

Abstract Harris Hawks Optimization (HHO) algorithm is a newly proposed meta-heuristic
optimization algorithm that simulates the hunting process of the Harris hawks. It has the …

Short-term solar irradiance forecasting plays a pivotal role in the effective integration of
significantly fluctuating solar power into power grids. Existing computational approaches …

Classification models such as Multi-Verse Optimization (MVO) play a vital role in disease
diagnosis. To improve the efficiency and accuracy of MVO, in this paper, the defects of MVO …

The fruit fly optimization algorithm (FOA) is a well-regarded algorithm for searching the
global optimal solution by simulating the foraging behavior of fruit flies. However, when …

An efficient intelligent fault diagnosis model was proposed in this paper to timely and
accurately offer a dependable basis for identifying the rolling bearing condition in the actual …

Population structures play a crucial role in individuals' evolution. Gravitational search
algorithm (GSA) inspired by physical laws is a population-based algorithm. Its population …

In the contemporary world, where the escalating demand for energy and the imperative for
sustainable sources, notably solar energy, have taken precedence, the investigation into …

In this research, X-ray and MRI images of patients suffering from cervical hyperextension
injury are investigated. Also, radiographic images are collected from patients who suffered …