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Guest Editorial: Advances in AIāassisted radar sensing applications.
- Source :
- IET Radar, Sonar & Navigation (Wiley-Blackwell); Feb2024, Vol. 18 Issue 2, p235-238, 4p
- Publication Year :
- 2024
-
Abstract
- This document is a guest editorial from the journal IET Radar, Sonar & Navigation. It discusses the advances in AI-assisted radar sensing applications and the challenges that hinder its adoption in this field. The special issue of the journal features nine papers that address these challenges and offer innovative ideas and experimental results. The papers cover a range of topics, including health monitoring, human activity recognition, voice identification, elderly care health monitoring, track-to-track association, signal pre-processing, traffic congestion alleviation, and target recognition. The authors express their gratitude to the contributors and reviewers and believe that the research presented will inspire further exploration and innovation in this field. [Extracted from the article]
Details
- Language :
- English
- ISSN :
- 17518784
- Volume :
- 18
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- IET Radar, Sonar & Navigation (Wiley-Blackwell)
- Publication Type :
- Academic Journal
- Accession number :
- 175567787
- Full Text :
- https://doi.org/10.1049/rsn2.12544