Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Deep learning on a limited number of labels/annotations is a challenging task for medical imaging an...
Unsymmetrical dimethylhydrazine (UDMH) is a toxic and environmentally hostile compound that was mass...
In current decades, significant advancements in robotics engineering and autonomous vehicles have im...
Adversarial robustness has become a central goal in deep learning, both in the theory and the practi...
The crowd counting task has become a pillar for crowd control as it provides information concerning ...
BACKGROUND: Combining robotic therapy (RT) with task-oriented therapy is an emerging strategy to fac...
Deep learning provides the healthcare industry with the ability to analyse data at exceptional speed...
Including artificial intelligence in haematological education is compulsory but should not be limite...
This investigation presents a novel soft-robotic pneumatic gripper that consists of three newly prop...
. Deep learning denoising networks are typically trained with images that are representative of the ...
The transport and retention of microorganisms are typically described using attachment/detachment an...
BACKGROUND: Patient-based real-time quality control (PBRTQC), a complement to traditional QC, may el...
In this paper, we present a novel early termination based training acceleration technique for tempor...
It is well-established that neural networks can predict or identify structural motifs of non-coding ...
The study of complex diseases relies on large amounts of data to build models toward precision medic...
Family's academic cognition influences the family's academic concept, rearing fashion, and academic ...
There remains a limited emphasis on the use beyond the research domain of artificial intelligence (A...
The aims of this study were (1) to compare the effect of robot-assisted gait orthosis (RAGO) plus co...
While input or output-perturbation-based adversarial training techniques have been exploited to enha...
This study designs a travel recognition and scheduling system using artificial intelligence and imag...
In manyclinical settings, a lot of medical image datasets suffer from imbalance problems, which make...