Deep-learning-enabled self-adaptive microwave cloak without human intervention
Zhejiang University of Science and Technology · State Key Laboratory of Modern Optical Instruments · +3 more institutions
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Abstract
No abstract available for this paper.
Citation impact
561
total citations
- FWCI
- 19.91
- Percentile
- 100%
- References
- 48
Citations per year
Authors
7- CQChao QianCorresponding
Zhejiang University of Science and Technology, State Key Laboratory of Modern Optical Instruments, Zhejiang University
- BZBin Zheng
Zhejiang University of Science and Technology, State Key Laboratory of Modern Optical Instruments, Zhejiang University
- YSYichen Shen
Massachusetts Institute of Technology, Cytel (United States)
- LJLi Jing
Massachusetts Institute of Technology
- ELEr‐Ping Li
Zhejiang University of Science and Technology, State Key Laboratory of Modern Optical Instruments, Zhejiang University
Topics & keywords
Topics
Keywords
- Cloak
- Cloaking
- Metamaterial
- Invisibility
- Computer science
- Camouflage
- Microwave
- Artificial intelligence
UN Sustainable Development Goals
- Sustainable cities and communities
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