AIMC Topic: Universities

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Performance Evaluation of Knowledge Sharing in an Industry-University-Research Alliance Based on PSO-BPNN.

Computational intelligence and neuroscience
Knowledge sharing performance is very important to evaluate the interests of industry university research alliance. Firstly, this paper puts forward the index system of knowledge sharing performance evaluation of industry university research alliance...

A Study on Cross-Media Teaching Model for College English Classroom Based on Output-Driven Hypothetical Neural Network.

Computational intelligence and neuroscience
In the field of education, the development of educational big data has become an important strategic choice to promote the construction of the digital campus and educational reform, and educational big data has become a new driving force in the field...

Exploring Online Teaching Design of Curriculum Politics by Deep Learning and Visual Sensing Technology.

Computational intelligence and neuroscience
The study aims to explore the online teaching design of ideological and political education (IPE). Based on the relevant theories of deep learning (DL) and visual sensing, the students of a Chinese University are taken as the research samples and inv...

Use of artificial intelligence in activating the role of Saudi universities in joint scientific research between university teachers and students.

PloS one
Scientific research in Saudi Arabia's universities has undergone significant changes in recent years with the speed of higher education expansion and the opening of new universities. Artificial intelligence (AI) can be applied to existing data analys...

Multimodality and Computational Intelligence-Enabled Intercultural Communicative Competence of College-English-Teaching Students.

Computational intelligence and neuroscience
With the intensification of global economic integration, international exchanges have become increasingly frequent, and employers have put forward higher requirements for ICC (Intercultural Communication Competence) of college students. In this paper...

Exploring the Employment Quality Evaluation Model of Application-Oriented University Graduates by Deep Learning.

Computational intelligence and neuroscience
In view of the employment difficulties of college graduates, this paper analyzes the overflow of graduates in a particular period caused by the expansion of enrollment in various colleges and universities and the social phenomenon of social positions...

Application Optimization of University Aesthetic Education Resources Based on Few-Shot Learning from the Perspective of Ecological Aesthetic Education.

Computational intelligence and neuroscience
The idea of EAE (Ecological Aesthetic Education) is put forward on the basis of the mature development of ecological aesthetics and AE theory. Starting with EAE, establishing people's aesthetic attitude and improving people's spiritual realm will hel...

A Combinatorial Optimization Framework for Scoring Students in University Admissions.

Evaluation review
BACKGROUND AND OBJECTIVES: Selecting applications for college admission is critical for university operation and development. This paper leverages machine learning techniques to support enrollment management teams through data-informed decision-makin...

An Optimized Decision Method for Smart Teaching Effect Based on Cloud Computing and Deep Learning.

Computational intelligence and neuroscience
In order to improve the effect of intelligent teaching and give full play to the role of intelligent technology in modern physical education, in this paper, cloud computing and deep learning methods are used to comprehensively evaluate the teaching e...

The Impact of Wireless Network Mobile Devices on College Students' Labour Concept Education in Artificial Intelligence Environment.

Computational intelligence and neuroscience
To cultivate correct labour values and good labour quality of college students and effectively promote the development of their labour concept education, this work explores the impact of wireless network mobile devices on college students' labour con...