Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Robots are becoming increasingly accessible to both experts and non-experts. Therefore, establishing...
BACKGROUND: The use of robotic assistance in minimally invasive pancreatic resection is quickly grow...
To address the problems of convolutional neural networks (CNNs) consuming more hardware resources (s...
As a prevailing solution for visual tracking, Siamese networks manifest high performance via convolu...
Automatic liver tumor segmentation could offer assistance to radiologists in liver tumor diagnosis, ...
It has been widely recognized that the efficient training of neural networks (NNs) is crucial to cla...
In this article, we propose a novel model-parallel learning method, called local critic training, wh...
Perturbation has a positive effect, as it contributes to the stability of neural systems through ada...
By the method of documentation and logical analysis, based on the data, based on logic and based on ...
The emergence of large-scale human genome projects, advances in DNA sequencing technologies, and the...
Business development is dependent on a well-structured human resources (HR) system that maximizes th...
Systematic literature review (SLR) is a crucial method for clinicians and policymakers to make their...
Polyp segmentation has accomplished massive triumph over the years in the field of supervised learni...
OBJECTIVE: To assess the effects of exoskeleton robot-assisted passive range of motion for induction...
OBJECTIVE: Robot-assisted neuro-rehabilitation therapy plays a central role in upper extremity recov...
Keeping computers secure is becoming challenging as networks grow and new network-based technologies...
OBJECTIVE: Technological advances have significantly fostered the use of robotics in neurosurgery. D...
To address the problem of low prediction accuracy of precipitation time series data, an improved ove...
BACKGROUND: The da Vinci skills simulation curriculum has been validated in the literature. The upda...
Computer-aided detection systems based on deep learning have shown great potential in breast cancer ...
Semi-supervised learning has made significant strides in the medical domain since it alleviates the ...