Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Poor balance and ataxic gait are major impediments to independent living in ataxic cerebral palsy (C...
The COVID-19 pandemic has exposed the obsolescence and vulnerability of many existing auditing pract...
Umbilical cord mesenchymal stem cells (UCMSCs) transplantation has been proposed as a promising trea...
In this study, a wearable inertial measurement unit system was introduced to assess patients via the...
In order to make a preliminary prediction of flavor and retention index (RI) for compounds in beer, ...
Retention time (RT) prediction contributes to identification of small molecules measured by high-per...
Machine learning is a popular technique to predict the retention times of molecules based on descrip...
There are limited data on the fluid balance characteristics and fluid replenishment behaviors of hig...
Vertigo is a sensation of movement that results from disorders of the inner ear balance organs and t...
The educational research is increasingly emphasizing the potential of student engagement and its imp...
Screening of physicochemical properties should be considered one of the essential steps in the drug ...
Vascular anastomoses typically involve a handsewn technique requiring significant surgical training,...
The inclusion of peptide retention time prediction promises to remove peptide identification ambigui...
The Y Balance Test (YBT) is a dynamic balance assessment typically used in sports medicine. This wor...
Public health and its related facilities are crucial for thriving cities and societies. The optimum ...
An adequate classification of proximal femur fractures from X-ray images is crucial for the treatmen...
The recent explosive growth in the number of smart technologies relying on data collected from senso...
A query optimizer attempts to predict a performance metric based on the amount of time elapsed. Theo...
Mobile robots are promising devices which are dedicated to human comfort in all areas. However, the ...
PURPOSE: Surgical gesture recognition has been an essential task for providing intraoperative contex...
When training deep learning models, data augmentation is an important technique to improve the perfo...