Latest AI and machine learning research in medicare for healthcare professionals.
The near-surface temperature prediction (NTP) is an important spatial-temporal forecast problem, whi...
Automatic and accurate optical coherence tomography (OCT) image classification is of great significa...
In contrast with our everyday experience using brain circuits, it can take a prohibitively long time...
The use of robotic and technical systems for early mobilization of intensive care patients: A scopin...
Long jump is a test item of national student physical health monitoring, which can reflect the quali...
Several artificial intelligence algorithms have been proposed to help diagnose glaucoma by analyzing...
This article focuses on the target search problem in a curve-shape area using multiple unmanned aeri...
The existing electrocardiogram (ECG) biometrics do not perform well when ECG changes after the enrol...
In view of the employment difficulties of college graduates, this paper analyzes the overflow of gra...
In order to explore the construction and implementation effect of a procedural nursing system for la...
Text classification is widely studied by researchers in the natural language processing field. Howev...
BACKGROUND AND OBJECTIVES: Selecting applications for college admission is critical for university o...
Biologically inspiredhave long been adapted to swarm robotic systems, including biased random walks,...
Background Social risk factors influence rehospitalization rates yet are challenging to incorporate ...
Clinical trials represent a critical milestone of translational and clinical sciences. However, poor...
As one of the most effective methods of vulnerability mining, fuzzy testing has scalability and comp...
The coverage path planning (CPP) algorithms aim to cover the total area of interest with minimum ove...
Fast and accurate assessment of small-molecule dihedral energetics is crucial for molecular design a...
The current approach to using machine learning (ML) algorithms in healthcare is to either require cl...
In the real-world scenario, data often have a long-tailed distribution and training deep neural netw...
As costs decline and technology inevitably improves, current trends suggest that artificial intellig...