Latest AI and machine learning research in surveys for healthcare professionals.
The development of a new type of international relations is the advancement and improvement of diplo...
A rolling bearing fault diagnosis method based on whale gray wolf optimization algorithm-variational...
At this stage, in the research process of sports public service efficiency evaluation and analysis, ...
Gene Expression Data is the biological data to extract meaningful hidden information from the gene d...
BACKGROUND: The ever-growing amount of health information available on the web is increasing the dem...
This research aimed to investigate the diagnostic effect of computed tomography (CT) images based on...
: Treatment for urinary tract infections (UTIs) is usually empiric and is based on local antimicrobi...
High-quality computed tomography (CT) images are key to clinical diagnosis. However, the current qua...
The research on the history of ideological and political education (IPE) is the basis for deepening ...
To develop multi-functionalhuman-machine interfaces that can help disabled people reconstruct lost f...
Under the background of the rapid development of the new generation of information technology, artif...
We present an automated method for measuring media bias. Inferring which newspaper published a given...
Students are often encouraged to learn 'deeply' by abstracting generalizable principles from course ...
With the development of information technology, the application of a new generation of information t...
In recent years, China's achievements in artificial intelligence (AI) have attracted the attention o...
Synthetic yield prediction using machine learning is intensively studied. Previous work has focused ...
Applications of artificial intelligence (AI) in medicine and dentistry have been on the rise in rec...
Machine learning combined with satellite image time series can quickly, and reliably be implemented ...
When it first appeared, multimodal fundus imaging revolutionized the diagnostic workup and provided ...
The field of meta-learning, or learning-to-learn, has seen a dramatic rise in interest in recent yea...
As an emerging and challenging problem in the computer vision community, weakly supervised object lo...