Advances in Audio/Image Signals Processing

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 28 February 2025 | Viewed by 38

Special Issue Editors


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Guest Editor
Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
Interests: machine learning; deep neural network architectures; medical image analysis; emotional state analysis;
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Central Mining Institute—National Research Institute, 1 Gwarków Square, 40-166 Katowice, Poland
Interests: computer science; computer vision; image processing; image analysis; machine learning; artificial intelligence; software engineering
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce a call for submissions for our Special Issue entitled “Advances in Audio/Image Signals Processing”.

This Special Issue will focus on advancements in the design and development of methods for processing audio and image signals. The increasing availability and accessibility of hardware for capturing these signals has led to a surge in data collection. However, the large volume of data collected requires the development of faster and more efficient methods for analyzing and processing signal data. As the acquisition of data has become easier and more cost-effective, there is a growing need for automated processing and analyses that make sense of the collected information.

This Special Issue welcomes the submission of papers that explore cutting-edge research and recent advancements in the field of visual and audio signal analysis across all possible domains. We particularly encourage submissions that introduce novel approaches and compare their impact to the current state of the art. Nevertheless, case studies and theoretical studies will also be considered, provided that they do not constitute the majority of the papers published.

Dr. Karolina Nurzynska
Dr. Sebastian Iwaszenko
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. Applied Sciences 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

  • image processing and understanding
  • image recognition
  • computer vision
  • multimodal image understanding, multispectral image understanding
  • visual attention
  • image denoising
  • knowledge discovery
  • image-understanding applications
  • audio processing and understanding
  • frequency analysis
  • wavelet analysis
  • speech recognition
  • signal denoising
  • signal decomposition
  • timeseries analysis
  • feature discovery
  • pattern recognition
  • pattern identification

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Published Papers

This special issue is now open for submission.
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