Breaking the Performance Gap of Fully and Semisupervised Learning in Electromagnetic Signature Recognition
Year: 2023
Type: article
Source: IEEE Internet of Things Journal
Institutions: Tianjin University, Tibet University, Kadir Has University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Awards: 面向复杂电磁环境的认知被动雷达波形识别与优化研究, G3862919903
OpenAlex ID: W4384284168
