Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
OBJECTIVES: We survey recent work in biomedical NLP on building more adaptable or generalizable mode...
External disturbance poses the primary threat to robot balance in dynamic environments. This paper p...
OBJECTIVE: The change in performance of machine learning models over time as a result of temporal da...
BACKGROUND AND OBJECTIVE: Synthetic magnetic resonance imaging (MRI) is a low cost procedure that se...
An innovative approach for real-time road safety analysis is presented in this work. Unlike traditio...
Gait analysis based on inertial sensors has become an effective method of quantifying movement mecha...
We demonstrate the potential for machine learning systems to predict three-dimensional (3D)-relevant...
In this paper, we examine two strategies for boosting the performance of ensembles of Siamese networ...
BACKGROUND: Walking dysfunction exists in most patients after stroke. Evidence regarding gait traini...
At the dawn of the fourth industrial revolution, the healthcare industry is experiencing a momentous...
Since 2000, robotic-assisted surgery has rapidly expanded into almost every surgical sub-specialty. ...
BACKGROUND: Osteoporosis is an underdiagnosed and undertreated disease worldwide. Recent studies hav...
When a photovoltaic (PV) system is connected to the electric power grid, the power system reliabilit...
OBJECTIVE: A national robotic surgery curriculum is still developing for general surgery residents a...
Prediction of gas chromatographic retention indices based on compound structure is an important task...
Accurate prediction of any type of natural hazard is a challenging task. Of all the various hazards,...
Directed evolution of proteins often involves a greedy optimization in which the mutation in the hig...
In recent decades pharmaceutics and drug delivery have become increasingly critical in the pharmaceu...
With the rapid development of deep learning, computer vision has assisted in solving a variety of pr...
The success of deep learning in recent years has arguably been driven by the availability of large d...
There are many factors that affect athletes' sports performance in sports competitions. The traditio...