Microwave Sensors and Artificial Intelligence for Non-contact, Safe and Fast Monitoring of Human Body

A special issue of COVID (ISSN 2673-8112).

Deadline for manuscript submissions: 31 August 2025 | Viewed by 304

Special Issue Editor


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Guest Editor
Department of Computer Engineering, Modeling, Electronics and Systems (DIMES), University of Calabria, 87036 Arcavacata, Italy
Interests: microwave and millimeter-waves antennas and circuits; microwave biomedical applications; innovative materials for antennas; electromagnetics in health safety
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Special Issue Information

Dear Colleagues,

The COVID-19 pandemic has strongly highlighted the need for non-contact and safe methods as alternatives to standard X-rays for accurate diagnostics. Microwaves can be usefully adopted in this scope, as they are non-ionizing radiation, and so more frequently repeatable as compared to X-rays, but they guarantee accurate results that can be further improved and sped up if additionally combining artificial intelligence methods. The objectives of this Special Issue are to collect submissions that (1) provide a safer and more frequently repeatable diagnostic approach for COVID-19 compared to X-rays; and (2) explore the integration of microwaves and artificial intelligence techniques to improve the accuracy and speed of COVID-19 diagnoses.

Dr. Sandra Costanzo
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. COVID is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

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Published Papers

This special issue is now open for submission.
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