Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Deep desulfurization is a key process for the production of high value-added products from C distill...
BACKGROUND: Robot-assisted gait training has been confirmed to have beneficial effect on the rehabil...
Novel Coronavirus is deadly for humans and animals. The ease of its dispersion, coupled with its tre...
Fourier-transform infrared (FTIR) spectroscopy is a powerful high-throughput phenotyping tool for pr...
Understanding a patient's medical history, such as how long symptoms last or when a procedure was pe...
In this paper, a feature fusion method with guiding training (FGT-Net) is constructed to fuse image ...
Convolutional neural networks (CNNs) excel as powerful tools for biomedical image classification. It...
Fish robots have many possible applications in exploration, industry, research, and continue to incr...
OBJECTIVE: To describe the effect of robotic locomotor training (RLT) and activity-based training (A...
INTRODUCTION: Postural instability is a cardinal feature of Parkinson's disease, together with rest ...
Time-of-flight magnetic resonance angiography (TOF-MRA) is one of the most widely used non-contrast ...
BACKGROUND: Accepted systematic review (SR) methodology requires citation screening by two reviewers...
After Deep Learning (DL) regained popularity recently, the Artificial Intelligence (AI) or Machine L...
Monolithic neural networks and end-to-end training have become the dominating trend in the field of ...
Convolutional neural networks (CNNs) are widely recognized as the foundation for machine vision syst...
Human-robot collaboration is becoming ever more widespread in industry because of its adaptability. ...
OBJECTIVE: To investigate the effectiveness of robot-assisted therapy on balance function in stroke ...
Small molecule retention time prediction is a sophisticated task because of the wide variety of sepa...
In silico analysis of biological activity data has become an essential technique in pharmaceutical d...
OBJECTIVES: Diagnostic accuracy of artificial intelligence (AI) pneumothorax (PTX) detection in ches...
We propose a new regularization method for deep learning based on the manifold adversarial training ...