Machine Learning-Enhanced Flexible Mechanical Sensing

被引：0

作者：

Yuejiao Wang

Mukhtar Lawan Adam

Yunlong Zhao

Weihao Zheng

Libo Gao

Zongyou Yin

Haitao Zhao

机构：

[1] Tsinghua University,Applied Mechanics Laboratory, Department of Engineering Mechanics

[2] Chinese Academy of Sciences,Materials Interfaces Center, Shenzhen Institute of Advanced Technology

[3] Xiamen University,Department of Mechanical and Electrical Engineering

[4] Xidian University,School of Mechano

[5] Australian National University,Electronic Engineering

来源：

Nano-Micro Letters | 2023年 / 15卷

关键词：

Flexible mechanical sensors; Machine learning; Artificial intelligence; Data processing;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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.

引用

共 50 条

[1] Machine Learning-Enhanced Flexible Mechanical Sensing
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[J]. NANO-MICRO LETTERS, 2023, 15 (01)
[2] Machine Learning-Enhanced Flexible Mechanical Sensing
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Libo Gao
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Haitao Zhao
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