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- Title
Key problem on mobile intelligent multimedia system.
- Authors
Fu, Weina; Chen, Zeshi; Liu, Shuai
- Abstract
With development of computer and communication technology, multimedia with large size is transmitted easily due to the fast transmission speed and novel protocols in wireless networks [[1]]. In a wireless network system, such as Internet of Things (IoT) environment, data and computational power on different kinds of services are possible to fuse together [[3]]. In order to reduce the redundant data deletion accuracy and error rate of wireless network scheduling information, and eliminate noise holes, a nonlinear dimensionality reduction method for wireless network scheduling frequent information based on multi-level mapping was proposed in the first article, "Nonlinear dimensionality reduction method of scheduling frequent information in wireless networks based on multilevel mapping", authored by Marcin Wo'zniak from the Faculty of Applied Mathematics, Silesian university of Technology, Poland. Classical solutions for problems in wireless networks The first section of this issue includes four articles, which focuses on the classical solutions in wireless network environment, including nonlinear dimensionality reduction, multi-frequency routing protocol, communication assessment, and tensor embedding [[6]-[9]].
- Subjects
ARTIFICIAL intelligence; DEEP learning; MULTIMEDIA systems; CONVOLUTIONAL neural networks; RADIO engineering; VIDEO compression; APPLIED sciences; COMPUTATIONAL mathematics
- Publication
Wireless Networks (10220038), 2023, Vol 29, Issue 7, p2891
- ISSN
1022-0038
- Publication type
Article
- DOI
10.1007/s11276-023-03468-5