Latest AI and machine learning research in surveys for healthcare professionals.
With continued advancements in portable eye-tracker technology liberating experimenters from the restraints of artificial laboratory designs, research can now collect gaze data from real-world, natural navigation. However, the field lacks a robust method for achieving this, as past approaches relied upon the time-consuming manual annotation of eye-tracking data, while previous attempts at automati...
Taking the entire education system in Taiyuan City, Shanxi Province, Central China, as an example, this paper uses the questionnaire survey method to analyze the effect of artificial intelligence (AI) on role cognition in the education system. The education system targeted by this questionnaire survey involves 8 categories: preschool education, primary education, secondary education, higher educat...
This article draws on previous research on constructive English teaching models and uses multimodal neural network algorithm theory and constructive E...
A topologically based neural network algorithm is used to conduct an in-depth study and analysis of domino accident risk data in chemical parks, and t...
The design system based on aesthetic principles is the most representative in the field of design and has a certain significance for the research and ...
The study's aim was to externally validate a new predictive model for the new baseline glomerular filtration rate (NB-GFR) postnephrectomy among Japa...
One of the major problems in machine learning is data leakage, which can be directly related to adversarial type attacks, raising serious concerns abo...
According to the world population, nearly five billion people use mobile phones in their daily lives, and this has increased by 20% in the last twelve...
Humans rely heavily on the shape of objects to recognise them. Recently, it has been argued that Convolutional Neural Networks (CNNs) can also show a ...
Mental health monitoring of seafarers is an important part of achieving normal development of the ocean shipping industry. In this paper, a dual subje...
Deep learning has remarkably impacted several different scientific disciplines over the last few years. For example, in image processing and analysis,...
One of the essential processes in modern sports is doping control. In recent years, specialized methods of artificial intelligence and large-scale dat...
Technological advances and data availability have enabled artificial intelligence-driven tools that can increasingly successfully assist in identifyin...
This study, based on 2011-2020 China's listed companies on GEM as research samples, introduces the BPNN (BP neural network) and GBDT (Gradient Boostin...
Analysis of longitudinal Electronic Health Record (EHR) data is an important goal for precision medicine. Difficulty in applying Machine Learning (ML)...
A gate-tunable synaptic device controlling dynamically reconfigurable excitatory and inhibitory synaptic responses, which can emulate the fundamental ...
In this study, the method of a fuzzy comprehensive evaluation is used to analyze the research situation of smart city development, and 20 evaluation i...
Machine learning models are widely applied to predict molecular properties or the biological activity of small molecules on a specific protein. Models...
Scientific research in Saudi Arabia's universities has undergone significant changes in recent years with the speed of higher education expansion and ...
The study aims to explore the online teaching design of ideological and political education (IPE). Based on the relevant theories of deep learning (DL...