We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

The field of biometrics research encompasses the need to associate an identity to an
individual based on the persons physiological or behaviour traits. While the use of intrusive …

Recently, human monkeypox outbreaks have been reported in many countries. According to
the reports and studies, quick determination and isolation of infected people are essential to …

Prediction of remaining useful life (RUL) is an indispensable part of prognostics health
management (PHM) in complex systems. Considering the parallel integration of the spatial …

The volatile and intermittent nature of solar energy itself presents a significant challenge in
integrating it into existing energy systems. Accurate photovoltaic power prediction plays an …

The aim of this paper is to develop a hybrid model of a powerful Convolutional Neural
Networks (CNN) and Support Vector Machine (SVM) for recognition of handwritten digit from …

Rice disease recognition is crucial in automated rice disease diagnosis systems. At present,
deep convolutional neural network (CNN) is generally considered the state-of-the-art …

Many health systems over the world have collapsed due to limited capacity and a dramatic
increase of suspected COVID-19 cases. What has emerged is the need for finding an …

Software defect prediction aims to identify the potential defects of new software modules in
advance by constructing an effective prediction model. However, the model performance is …

Abstract Internet of Medical Things (IoMT) is now worth a billion dollar market. While offering
enormous benefit, the prevalent and open environment of IoMT ecosystem can be a …