In recent years, machine learning methods has been widely used in various fields, such as
finance, spatial sciences, smart grid, intelligent transportation, renewable energy …

This study is devoted to proposing a useful intelligent prediction model to distinguish the
severity of COVID-19, to provide a more fair and reasonable reference for assisting clinical …

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 …

The resting-state functional magnetic resonance imaging (rs-fMRI) is a pivotal tool that can
reveal brain dysfunction in the computer-aided diagnosis of the autism spectrum disorder …

For the poor model generalization and low diagnostic efficiency of fault diagnosis under
imbalanced distributions, a novel fault diagnosis method using variational autoencoder …

This paper has proposed an effective intelligent prediction model that can well discriminate
and specify the severity of Coronavirus Disease 2019 (COVID-19) infection in clinical …

Employing the classic optimization solver to train a multiclass support vector machine (SVM)
requires prohibitive training time as the sample size and number of categories increase. It …

Due to the non-smoothness of the Hinge loss in SVM, it is difficult to obtain a faster
convergence rate with modern optimization algorithms. In this paper, we introduce two …

The challenge of developing an Android malware detection framework that can identify
malware in real-world apps is difficult for academicians and researchers. The vulnerability …

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 …