Prompt, Accurate, and Noncontact Material Identification Using a Single Microwave Sensor With Machine Learning Analysis-Reference-Cited by-同舟云学术

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Prompt, Accurate, and Noncontact Material Identification Using a Single Microwave Sensor With Machine Learning Analysis

Published:2024 Issue: Volume:73 Page:1-10
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhu Chen¹^ORCID,Alsalman Osamah²^ORCID,Huang Jie³^ORCID

Affiliation:

1. Research Center for Optical Fiber Sensing, Zhejiang Laboratory, Hangzhou, China

2. Department of Electrical Engineering, College of Engineering, King Saud University, Riyadh, Saudi Arabia

3. Department of Electrical and Computer Engineering, Missouri University of Science and Technology, Rolla, MO, USA

Funder

Research Initiation Project of Zhejiang Laboratory

King Saud University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10522651.pdf?arnumber=10522651

Reference48 articles.

1. Planar Microwave Resonant Sensors: A Review and Recent Developments

2. Review of advances in microwave and millimetre-wave NDT&E: principles and applications

3. A Centimeter-Range Displacement Sensor Based on a Hollow Coaxial Cable Fabry–Perot Resonator

4. A Review of Sensing Strategies for Microwave Sensors Based on Metamaterial-Inspired Resonators: Dielectric Characterization, Displacement, and Angular Velocity Measurements for Health Diagnosis, Telecommunication, and Space Applications

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