Special Issue "Fractal Based Information Processing and Recognition"
Deadline for manuscript submissions: closed (30 June 2018).
Interests: fractal; computer vision; information recognition
Interests: wavelets; fractals; fractional calculus; dynamical systems; data analysis; time series analysis; image analysis; computer science; computational methods; composite materials; elasticity; nonlinear waves
Special Issues and Collections in MDPI journals
Special Issue in Entropy: Wavelets, Fractals and Information Theory II
Special Issue in Entropy: Wavelets, Fractals and Information Theory III
Special Issue in Fractal and Fractional: Fractional Dynamics
Special Issue in Symmetry: Symmetry and Complexity
Topical Collection in Entropy: Wavelets, Fractals and Information Theory
Special Issue in Symmetry: Symmetry and Complexity 2019
Special Issue in Fractal and Fractional: 2019 Selected Papers from Fractal Fract’s Editorial Board Members
Special Issue in Axioms: Fractional Calculus, Wavelets and Fractals
Special Issue in Symmetry: Symmetry and Complexity 2020
Special Issue in Fractal and Fractional: 2020 Selected Papers from Fractal Fract’s Editorial Board Members
Special Issue in Symmetry: Advanced Calculus in Problems with Symmetry
Special Issue in Mathematics: Advanced Methods in Computational Mathematical Physics
Special Issue in Fractal and Fractional: Qualitative Analysis of Fractional Deterministic and Stochastic Systems
Special Issue in Fractal and Fractional: Numerical Methods and Simulations in Fractal and Fractional Problems
Special Issue in Fractal and Fractional: Fractional Dynamics 2021
Special Issue in Entropy: Wavelets, Fractals and Information Theory IV
Special Issue in Entropy: Advanced Numerical Methods for Differential Equations
Special Issue in Fractal and Fractional: Fractional Vibrations: Theory and Applications
Special Issue in Fractal and Fractional: 2021 Feature Papers by Fractal Fract's Editorial Board Members
Interests: deep learning; convolutional neural network; graph convolutional network; attention network; explainable AI; biomedical image analysis; bio-inspired computing; pattern recognition; transfer learning; medical sensor
Special Issues and Collections in MDPI journals
Special Issue in Information: Swarm Information Acquisition and Swarm Intelligence in Engineering
Special Issue in Information: Computational Intelligence Technique in Medical Image Analysis
Special Issue in Technologies: Medical Imaging & Image Processing Ⅱ
Special Issue in Journal of Imaging: Deep Learning in Medical Image Analysis
Special Issue in Electronics: Data-Driven Processing from Complex Systems Perspective
Special Issue in Journal of Imaging: Deep Learning in Medical Image Analysis, Volume II
Special Issue in Methods and Protocols: Methods and Protocols in Recent Artificial Intelligence
Special Issue in Applied Sciences: Selected Papers from FCPAE2021 and 3rd International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM2021)
Special Issue in Technologies: Medical Imaging & Image Processing III
Since Mandelbrot integrated and provided fractal theory, it was soon applied as a characteristic of complex information, and used in many research domains. Today, fractal theory is widely used in combination with dynamical system, chaos, and fractional dimensions.
Except for the theory of fractals, fractal-based applications have also been successfully applied in the analysis of complex natural or engineering phenomenon, especially in empirical description of information with complex structures. For example, a great deal of thermodynamic information can be analyzed using fractal-based methods. Moreover, the biological information of many species can be discovered using fractal analysis. In addition, fractal-based information analysis and processing can be used in information encoding, compression, recognition, extraction, and so on. In fact, fractal compression can compress information with a very high compression ratio, which is higher than classical compression methods by several times, or even more. Fractal-based classification and recognition and recognition method are also used in bioinformatics, geology, and other domains of natural science.
Since fractal-based methods have started to occupy a central place in information processing and recognition domains today, this Special Issue aims to provide an opportunity for researchers to publish their fractal-based studies in information processing and recognition. All accepted papers must have original research results, as well as excellent engineering applications.
Prof. Dr. Carlo Cattani
Prof. Dr. Shuai Liu
Prof. Dr. Yudong Zhang
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 papers will be 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 2000 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.
- Fractal Information Processing
- Fractal Recognition
- Fractal Classification
- Fractal Encoding