Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
This study aims to develop the application of pneumatic artificial muscle (PAM) for a 2-degrees of f...
Trajectory data represent an essential source of information on travel behaviors and human mobility ...
The success or failure of badminton competition often depends on the training level of technical, ph...
In the competitive electricity market, electricity price reflects the relationship between power sup...
. A key to a more efficient scheduling systems is to ensure appointments are designed to meet patien...
Health monitoring systems (HMSs) capture physiological measurements through biosensors (sensing), ob...
With the proliferation of artificial intelligence (AI) technology, the function of AI in a sixth gen...
Temporal dataset shift associated with changes in healthcare over time is a barrier to deploying mac...
This study presents an optimization approach for scheduling the operation room for emergency surgeri...
Transfer learning has received much attention recently and has been proven to be effective in a wide...
The problem of intelligent - consensus design for leader-followers multiagent systems (MASs) under...
Adherence to medication in long-term conditions is around 50%. The key components of successful inte...
BACKGROUND: Current robot-aided training allows for high-intensity training but might hamper the tra...
BACKGROUND: For the past decades, benefitting from the rapid growth of protein sequence data in publ...
Immunofluorescence microscopy is routinely used to visualise the spatial distribution of proteins th...
Ear related concerns and symptoms represent the leading indication for seeking pediatric healthcare ...
Classifying MR images based on their contrast mechanism can be useful in image segmentation where ad...
BACKGROUND: Assess the relevance of a canine model in robot-assisted radical prostatectomy (RARP) tr...
At present, the prediction of disease causal genes is mainly based on heterogeneous. Research shows ...
Brain network analysis can offer useful information to guide the rehabilitation of post-stroke patie...
Pain is an integrative phenomenon coupled with dynamic interactions between sensory and contextual p...