School and Enterprise Cooperation Based on Artificial Intelligence Technology
- DOI
- 10.2991/978-94-6463-192-0_102How to use a DOI?
- Keywords
- Education reform; Training mode; Talent traini; Image denoiser
- Abstract
To solve the problem of “weak engineering teaching ability”. This paper discusses the new concept of higher engineering education reform based on the deep integration of schools and enterprises. The concept is government-led and promotes the personnel training mode of cooperation between universities and enterprises.We proposed establish a supporting system by leading role of the government, a fruitful attempt by colleges and universities, measures for collaborative talent training of enterprises and other solutions. To improve the video quality of online meetings during the school-enterprise collaboration, we designed a Channel and Spatial Stretch Image Denoiser (CSSD). Finally, we come to the conclusion that our method is good for solving problem of “weak engineering teaching ability” and CSSD has also provided strong help for the development of our school-enterprise cooperation.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Qi Zhang AU - Chunwei Tian AU - Pengbin Gao PY - 2023 DA - 2023/07/04 TI - School and Enterprise Cooperation Based on Artificial Intelligence Technology BT - Proceedings of the 2023 2nd International Conference on Educational Innovation and Multimedia Technology (EIMT 2023) PB - Atlantis Press SP - 795 EP - 801 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-192-0_102 DO - 10.2991/978-94-6463-192-0_102 ID - Zhang2023 ER -