Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
BACKGROUND: Classification of electroencephalography (EEG) signals for motor imagery based brain com...
There is an increasing research interest in exploring use of robotic devices for the physical therap...
The wide variation in upper extremity motor impairments among stroke survivors necessitates more int...
BACKGROUND: When exploring changes in upper limb kinematics and motor impairment associated with mot...
In this paper, we propose a set of wavelet-based combined feature vectors and a Gaussian mixture mod...
Previous research suggests that the effectiveness of robotic training depends on the motor task to b...
Objective This article establishes a relationship between temporal sensitivity and task performance ...
The valuable structure features in full-dose computed tomography (FdCT) scans can be exploited as pr...
The purpose of this study is to investigate the performance, emission and combustion characteristics...
INTRODUCTION: Shift patterns, work hours, work arrangements and worker motivations have increasingly...
PURPOSE: The present study evaluated the effects of regular participation in small-sided team handba...
OBJECTIVE: This study aims to establish a steady-state visual evoked potential- (SSVEP-) based passi...
PURPOSE: The aim of the present study was to investigate whether street basketball organized as 3 v ...
BACKGROUND: To provide body weight support during walking and balance training, one can employ two d...
Using molecular simulation for adsorbent screening is computationally expensive and thus prohibitive...
It is still unknown to what extent overground walking with a WRE is equivalent to natural overground...
Artificial intelligence such as deep neural networks exhibited remarkable performance in simulated v...
Clinically useful and efficient assessment of balance during standing and walking is especially chal...
The molecular evolution of genomic DNA across diverse plant and animal phyla involved dynamic regist...
Deep Convolutional Neural Networks (DCNN) have recently emerged as superior for many image segmentat...
Although they are powerful and successful in many applications, artificial neural networks (ANNs) ty...