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Machine Learning-Enhanced Flexible Mechanical Sensing
- Source :
- Nano-Micro Letters, Vol 15, Iss 1, Pp 1-33 (2023)
- Publication Year :
- 2023
- Publisher :
- SpringerOpen, 2023.
-
Abstract
- Highlights The latest progress on the integration of flexible mechanical sensing platforms with machine learning (ML) is reviewed. The advantages, challenges, and future perspectives of the application of ML to intelligent flexible mechanical sensing technology are discussed. The fundamental working mechanisms and common types of flexible mechanical sensors are reviewed.
Details
- Language :
- English
- ISSN :
- 23116706 and 21505551
- Volume :
- 15
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nano-Micro Letters
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.f4c4943226144c09bfb4de7266e76a9
- Document Type :
- article
- Full Text :
- https://doi.org/10.1007/s40820-023-01013-9