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Poster: The Use of Machine Learning in Electrical Impedance Tomography—A Variable Frequency Approach

Year: 2024

Type: conference-paper

Source: ACM Conference on Embedded Networked Sensor Systems (SenSys)

DOI: 10.1145/3666025.3699393

Authors: Monika Kulisz, Tomasz Rymarczyk, Grzegorz Kłosowski, Konrad Niderla, Michał Oleszek

Institutions: Lublin University of Technology, University of Economics and Innovation

Language: English

Topic: Electrical and Bioimpedance Tomography

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4404034873

FWCI:

Cites: 3

Cited by:

Related to: 10