Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
With the advent of the information age, people can establish good communication through Internet tec...
Federated Learning (FL) is a novel distributed machine learning, which allows thousands of edge devi...
Distance and depth detection plays a crucial role in intelligent robotics. It enables drones to unde...
With the advent of the Internet era, the frequency and proportion of candidates obtaining recruitmen...
With the further research of artificial intelligence technology, motion recognition technology is wi...
Drug discovery, which aids to identify potential novel treatments, entails a broad range of fields o...
Nowadays, organized retailing has witnessed a newer trend in the upcoming generations. Globally, the...
OBJECTIVE: Machine learning, deep learning, and artificial intelligence (AI) are terms that have mad...
In numerous classification problems, class distribution is not balanced. For example, positive examp...
Artificial intelligence (AI) algorithms evaluating [supine] chest radiographs ([S]CXRs) have remarka...
BACKGROUND: Several studies have shown that robotic devices can effectively improve motor function i...
Convolutional neural networks (CNNs) have made significant advances over the past decade with visual...
The paper is devoted to the study of EEG-based people verification. Analyzed solutions employed shal...
We aimed to evaluate the performance of supervised machine learning algorithms in predicting article...
BACKGROUND: A patient's health information is generally fragmented across silos because it follows h...
When creating training data for machine-learned interatomic potentials (MLIPs), it is common to crea...
This paper solves the problem of difficulty in achieving satisfactory results with traditional metho...
Electrocatalysts and photocatalysts are key to a sustainable future, generating clean fuels, reducin...
We introduce an unsupervised clustering algorithm to improve training efficiency and accuracy in pre...
The identification of migrates from food contact materials (FCMs) is challenging due to the complex ...
With the advent of the Internet era, the frequency and proportion of candidates obtaining recruitmen...