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Special Issue "Sensors Data Processing Using Machine Learning"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: 31 January 2023 | Viewed by 59

Special Issue Editors

Prof. Dr. Peter Hockicko
E-Mail Website
Guest Editor
Faculty of Electrical Engineering and Information Technology, University of Žilina, Žilina, Slovakia
Interests: acoustic attenuation measurements; ion-conductive glasses; relaxation processes
Prof. Dr. Róbert Hudec
E-Mail Website
Guest Editor
Department of multimedia and information-communication technologies, FEIT, University of Zilina, Univerzitna 8215/1, 01026 Zilina, Slovakia
Interests: neural network; machine learning; deep learning; computer vision; image processing
Special Issues, Collections and Topics in MDPI journals
Dr. Patrik Kamencay
E-Mail Website
Guest Editor
Department of Multimedia and Information-Communication Technologies, University of Zilina, 010 26 Zilina, Slovakia
Interests: image segmentation image analysis feature extraction computer vision pattern recognition digital image processing object recognition classification algorithms image processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Different sensors estimate measured variables using computational models, and these data must be processed (data processing). Data processing is the task of converting data from a given form into a much more usable and desirable form (which makes them more meaningful and informative). For this purpose, machine learning (ML), deep learning (DL) and artificial intelligence (AI) are turning out to be effective procedures. With the help of machine learning algorithms, mathematical modeling or different statistical knowledge, this whole process can be automated.

The main aim of this Special Issue is to collect research focusing on data processing using machine learning and deep learning. We invite investigators to contribute both original and review articles, covering the research and development in the areas of data processing using machine learning (ML) and deep learning (DL). These areas include solutions that are designed for smart devices. Potential topics include, but are not limited to, the following:

  • Machine-learning-based deblurring/denoising;
  • Machine-learning-based computer vision;
  • Machine-learning-based depth estimation;
  • Evaluation of 3D models using machine learning and deep learning;
  • Recognition of 3D models using machine learning and deep learning;
  • New trends and applications for systems based on machine learning;
  • Pattern recognition using machine learning and deep learning;
  • Machine-learning-based segmentation, shape detection;
  • Machine-learning-based object detection, object tracking, object localization.

Prof. Dr. Peter Hockicko
Prof. Dr. Róbert Hudec
Dr. Patrik Kamencay
Guest Editors

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. Sensors is an international peer-reviewed open access semimonthly 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 2400 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.

Keywords

  • data processing
  • machine learning
  • deep learning
  • pattern recognition
  • computer vision
  • depth estimation
  • 3D reconstruction

Published Papers

This special issue is now open for submission.
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