Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
When training deep learning models, data augmentation is an important technique to improve the perfo...
Sound event detection (SED) recognizes the corresponding sound event of an incoming signal and estim...
BACKGROUND AND OBJECTIVES: Bone age assessment (BAA) is widely used in determination of discrepancy ...
An ambulatory elder with SCI, AIS C, balance deficits, and right ankle-foot-orthosis participated. R...
Although confirmatory modeling has dominated much of applied research in medical, business, and beha...
Spiking Neural Networks (SNNs) have recently emerged as a new generation of low-power deep neural ne...
(1) Background: The rapid pace of digital development in everyday life is also reflected in dentistr...
Recently, the state-of-the-art performance in various sensor based human activity recognition (HAR) ...
Stream waters play a crucial role in catering to the world's needs with the required quality of wate...
Advances in High-performance computing (HPC) technology have reached the capacity to inform cardiova...
Insomnia is a common sleep disorder characterized by difficulties initiating sleep, maintaining slee...
Artificial intelligence (AI)-based applications exhibit the potential to improve the quality and eff...
The pace of regulatory clearance of artificial intelligence (AI) algorithms for radiology continues ...
Zero-shot learning (ZSL) is one of the most promising avenues of annotation-efficient machine learni...
We propose weakly supervised training schemes to train end-to-end cell segmentation networks that on...
This paper presents a novel approach for Multi-Robot Task Allocation (MRTA) that introduces priority...
Exoskeletons can enhance human mobility, but we still know little about why they are effective. For ...
The combination of education and artificial intelligence is the developmental direction of future ed...
Background Previous studies suggest that use of artificial intelligence (AI) algorithms as diagnosti...
In recent years, there has been an immense amount of research into fall event detection. Generally, ...
Accurate defect characterization is desirable in the ultrasonic nondestructive evaluation as it can ...