Skip to main navigation Skip to search Skip to main content

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

  • Zhejiang Lab
  • King Saud University

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number3398114
Pages (from-to)1-10
Number of pages10
JournalIEEE Transactions on Instrumentation and Measurement
Volume73
DOIs
StatePublished - 2024

ASJC Scopus Subject Areas

  • Instrumentation
  • Electrical and Electronic Engineering

Keywords

  • Machine learning (ML)
  • material identification
  • noncontact sensing
  • open-ended coaxial probe

Fingerprint

Dive into the research topics of 'Prompt, Accurate, and Noncontact Material Identification Using a Single Microwave Sensor With Machine Learning Analysis'. Together they form a unique fingerprint.

Cite this