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Chaotic and Fractal Approaches with AI for Multidisciplinary Modeling and Applications
This special issue belongs to the section “Optimization, Big Data, and AI/ML“.
Special Issue Information
Dear Colleagues,
The rapid integration of chaotic dynamics, fractal structures, and artificial intelligence (AI) has opened new horizons in modeling, prediction, security, optimization, and decision-making across various scientific and engineering domains. Chaotic systems offer rich nonlinear behavior and sensitivity that can enhance AI’s explorative power, while fractal geometry provides scalable patterns and structural insights applicable to high-dimensional and complex datasets.
This Special Issue aims to highlight cutting-edge research that leverages chaotic and fractal methods in combination with AI to address multidisciplinary challenges. We invite high-quality contributions that demonstrate theoretical advancements, algorithmic innovations, or practical applications that bridge nonlinear science with intelligent computational techniques. Submissions are invited on topics including (but not limited to):
- Fractal-based features and representations in AI models;
- Chaotic neural networks and chaotic activation functions;
- Fractal and chaotic approaches for optimization, prediction, and classification;
- AI-enhanced analysis of chaotic or complex datasets;
- Fractional calculus methods integrated with AI algorithms;
- Fractal geometry in image processing, pattern recognition, and medical diagnostics;
- Chaotic and fractal modeling for complex physical, biological, or socio-technical systems;
- Fractal and chaotic methods for time-series forecasting.
We encourage submissions of original research articles, comprehensive reviews, and innovative case studies addressing these topics.
Prof. Dr. Akif Akgül
Prof. Dr. Esteban Tlelo-Cuautle
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 250 words) can be sent to the Editorial Office for assessment.
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
- chaos theory
- fractals
- artificial intelligence (AI)
- neural networks
- hybrid AI approaches
- chaotic neural networks
- fractional calculus
- engineering applications
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