With the extensive applicability of machine learning classification algorithms to a wide
spectrum of domains, feature selection (FS) becomes a relevant data preprocessing …

The methods for selecting the features in evaluating fund performance rely heavily on
traditional statistics, which can potentially lead to excessive data dimensions in a multi …

The work status of ships' engines and boilers has a significant impact on emission estimates,
which are closely related to ships' operational phases. To improve the accuracy of emission …

In developing nations, diabetic retinopathy is a leading cause of blindness. It often has no
early warning signs; however, monitoring the eyes could prevent the progression to more …

Diabetes is a metabolic condition that raises when the body's glucose levels are too high
and it affects people of all age groups. Therefore, early diagnosis and an appropriate …

Objective The paper aims to address the problem of massive unlabeled patients in
electronic health records (EHR) who potentially have undiagnosed diabetic retinopathy …

As the aviation industry returns to pre-pandemic levels and faces projected growth, with
expectations to nearly double by 2040, it must address new challenges and opportunities by …

Abstract Objectives: Intense/unattended Diabetic Retinopathy (DR) results in vision loss for
diabetic patients for which a precise computer-aided image process is required. This article …

Diabetes Mellitus presents a substantial health obstacle on a global scale, with a particular
impact on the elderly demographic. Prompt identification is vital for efficient control and …

The continuous observation of patients' health condition as well as monitoring varying
crucial symptoms is termed as Healthcare monitoring, which also detect and trace any …