Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Auxiliary rewards are widely used in complex reinforcement learning tasks. However, previous work ca...
In satellite remote sensing applications, waterbody segmentation plays an essential role in mapping ...
Unsupervised domain adaptation (UDA) enables a learning machine to adapt from a labeled source domai...
AIM: The purpose of this study is to investigate how the use of artificial intelligence is associate...
Many applications of machine-learning methods involve an iterative protocol in which data are collec...
This paper uses intelligent methods such as a time recurrent neural network to predict network traff...
Energy efficiency is crucial to greenhouse gas (GHG) emission pathways reported by the Intergovernme...
A crucial element of any surgical training program is the ability to provide procedure-specific, obj...
In this paper, the side effects of drug therapy in the process of cancer treatment are reduced by de...
The Internet of Things applications have become popular because of their lightweight nature and usef...
High-performing, real-time pose detection and tracking in real-time will enable computers to develop...
Many tasks such as physical rehabilitation, vehicle co-piloting or surgical training, rely on physic...
An algorithm refers to a series of stepwise instructions used by a machine to perform a mathematical...
In order to realize the evaluation of the rationality of an innovative talent training mode, an eval...
This work investigates the stabilization problem of uncertain stochastic Markovian jump systems (MJS...
The quality of talent has increased across all fields due to the constant growth of different indust...
The model, Transformer, is known to rely on a self-attention mechanism to model distant dependencies...
Attention is a complex cognitive process with innate resource management and information selection c...
In the quality evaluation of public sports training, the selected indicators are not comprehensive, ...
We study generalization under labeled shift for categorical and general normed label spaces. We prop...
BACKGROUND: Clinical procedures are often performed in outpatient clinics without prior scheduling a...