Latest AI and machine learning research in surveys for healthcare professionals.
Autonomous driving is of great interest to industry and academia alike. The use of machine learning ...
In the current information and technology era, business enterprises are focusing in performing the p...
BACKGROUND: Advanced assistive technologies (AAT) aim to exploit the vast potential of technological...
Context: Qualitative research - crucial for understanding human behavior - remains underutilized, in...
INTRODUCTION: Population ageing, the rise of chronic diseases and the emergence of new viruses are s...
Manually segmenting multiple sclerosis (MS) cortical lesions (CLs) is extremely time consuming, and ...
Safe and secure closure of the vaginal cuff is a critical component of a robotic assisted hysterecto...
Background Patients with fractures are a common emergency presentation and may be misdiagnosed at ra...
Applications of machine learning (ML) methods have been used extensively to solve various complex ch...
With the in-depth promotion of the national strategy for the integration of artificial intelligence ...
To cultivate correct labour values and good labour quality of college students and effectively promo...
The purpose of this research is to enhance the analysis of the reliability status for external antic...
Estimating age based on neuroimaging-derived data has become a popular approach to developing marker...
SignificancePublic databases are an important resource for machine learning research, but their grow...
In this article, we introduce explainable methods to understand how Human Activity Recognition (HAR)...
Under the background of market economy, engineering projects are faced with a lot of financial risks...
The COVID-19 pandemic has devastated many low- and middle-income countries, causing widespread food ...
This paper presents a comprehensive overview of current deep-learning methods for automatic object c...
Training agents via deep reinforcement learning with sparse rewards for robotic control tasks in vas...
Feature selection is important in both machine learning and pattern recognition. Successfully select...
In clinical practice, the composition of missing data may be complex, for example, a mixture of miss...