Applying Neural Network for Extending Cavity Perturbation: Extraction of Complex Permittivity in Non-Linear Region-Reference-Cited by-同舟云学术

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Applying Neural Network for Extending Cavity Perturbation: Extraction of Complex Permittivity in Non-Linear Region

Published:2023-12-11 Issue: Volume: Page:1-4
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Container-title:2023 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON)
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Author:

Khusro Ahmad¹,Akhter Zubair²,Shamim Atif²,Jha Abhishek K.³,Hashmi Mohammad S.⁴

Affiliation:

1. Indian Institute of Technology Kanpur,Dept. of Electrical Engineering,Kanpur,India

2. King Abdullah Univ. of Sci. and Tech,CEMSE Division,Jeddah,Saudi Arabia

3. Indian Institute of Technology Tirupati,Dept. of Electrical Engineering,Tirupati,India

4. Nazarbayev University,SEDS,Astana,Kazakhstan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10463756/10463710/10464098.pdf?arnumber=10464098

Reference7 articles.

1. Microwave Electronics

2. A Generalized Rectangular Cavity Approach for Determination of Complex Permittivity of Materials

3. Use of machine learning to improve the estimation of conductivity and permittivity based on longitudinal relaxation time T1 in magnetic resonance at 7 T

4. Accuracy-Improved and Low-Cost Material Characterization Using Power Measurement and Artificial Neural Network

5. Computationally Intelligent Sensor System for Microwave Characterization of Dielectric Sheets

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