Latest AI and machine learning research in reform for healthcare professionals.
Anomaly detection is crucial in a variety of domains, such as fraud detection, disease diagnosis, and equipment defect detection. With the development of deep learning, anomaly detection with Bayesian neural networks (BNNs) becomes a novel research topic in recent years. This article aims to propose a widely applicable method of outlier detection (a category of anomaly detection) using BNNs based ...
Deep learning refers to active learning that allows students to perceive, experience, understand, and apply knowledge. Deep learning focuses on the mastery of knowledge and skills and more on the cultivation of higher-order thinking skills such as awareness, problem-solving, and knowledge transfer. In order to improve the quality of English classroom teaching in today's colleges and universities a...
Ideological and political education in colleges and universities is routinely burdened with the job of building morality and cultivating people, which...
With the development of information technology, teaching reform has also undergone major changes. The traditional college physical education teaching ...
According to the traditional data mining method, it is no longer applicable to obtain knowledge from the database, and the knowledge mined in the past...
In medicine, identifying the indirect immunofluorescence of human epithelial type 2 (HEp-2) cells plays a decisive role in the diagnosis of autoimmune...
In recent years, many colleges and universities have been experimenting and exploring the evaluation of education and teaching system and have achieve...
In recent years, the continuous development of big data, cloud services, Internet+, artificial intelligence, and other technologies has accelerated th...
Under the current theme of environmental protection, the effect of English literature classroom teaching reform cannot be analyzed qualitatively. Base...
This paper discusses the structure of psychological well-being education programmes in higher education institutions based on an analysis of the conno...
The mixed integer linear programming (MILP) has been widely applied in many fields such as supply chain management and robot control, while how to dev...
In subject teaching, subject characteristics are the logical starting point for teaching development, and a deep understanding of subject characterist...
Based on the development background of the interweaving and integration of computer technology and Internet technology, China's artificial intelligenc...
The quality of graduates is the key factor in evaluating the cultivation effect of colleges and universities. Quantification of whether the graduates ...
The development of precise teaching of civics with artificial intelligence not only is the realistic need of the development of the times and technolo...
Through the effective integration of various teaching resources, carry out the teaching design of "basic nursing technology" for the nursing specialty...
The turn of contemporary visual culture has led to the expansion of the connotation and scope of visual communication design (VCD) education, the gene...
This study aims to solve the multiscale problems faced by the current classroom student behavior target detection based on the convolutional neural ne...
Since China's reform and opening up, the social economy has achieved rapid development, followed by a sharp increase in carbon dioxide (CO) emissions....
The research performed here intends to explore the future development model of new rural financial institutions and determine the financial efficiency...