Fractional Calculus Applications for Signal Processing and Data Science

A special issue of Fractal and Fractional (ISSN 2504-3110).

Deadline for manuscript submissions: 15 February 2026 | Viewed by 117

Special Issue Editors


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Guest Editor
Faculty of Electronic Instrumentation, Veracruz University, Veracruz 91000, Mexico
Interests: fractional calculus; approximate solutions development for nonlinear differential equations; numerical and computational methods; collision-free trajectory planning in robotics; techniques for electronic circuit simulation

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Guest Editor
CTS-UNINOVA and LASI, NOVA School of Science and Technology, NOVA University of Lisbon, Quinta da Torre, 2829-516 Caparica, Portugal
Interests: fractional calculus; signal processing; fractional signals and systems
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Special Issue Information

Dear Colleagues,

Fractional calculus has gained significant interest in recent years, as scientists have continued to explore new scenarios for applying mathematical models derived from this unique branch of mathematics. In this context, the Special Issue "Fractional Calculus Applications for Signal Processing and Data Science" aims to showcase practical applications of fractional calculus across various fields, including signal processing, data science, machine learning, and related disciplines, hoping to shed light on traditional results that emerge as significant cases of back compatibility.

We highly encourage submissions that emphasize engineering applications where fractional calculus allows enlarging classic perspectives on signals and systems modeling/identification in time and frequency domains, image processing, fast numerical algorithms, data science tasks, and embedded systems. Submitted manuscripts must explain in detail the methodology that guarantees the reproducibility of the experiments described within the manuscript. Additionally, the materials needed to reproduce the achieved results should be available to readers either by default or upon request. Survey articles are welcome if they are written in a way that helps readers assess the role of fractional calculus in engineering applications.

Prof. Dr. Héctor Vázquez-Leal
Dr. Manuel Duarte Ortigueira
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. Fractal and Fractional 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 2700 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

  • fractional calculus
  • fractional transfer functions/Bode diagrams
  • fast numerical algorithms for fractional calculus
  • fractional signal processing in time and frequency domains
  • image processing and fractional techniques
  • embedded systems implementation of fractional operators
  • fractional filters design and implementation
  • fractional-order algorithms in AI
  • data science applications of fractional calculus
  • machine learning with fractional operators

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Published Papers

This special issue is now open for submission.
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