Fractal theory: A comprehensive review of applications across engineering disciplines
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F25%3A00052296" target="_blank" >RIV/29142890:_____/25:00052296 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.worldscientific.com/doi/abs/10.1142/S0218348X25300089?getft_integrator=clarivate&utm_source=clarivate&journalCode=fractals" target="_blank" >https://www.worldscientific.com/doi/abs/10.1142/S0218348X25300089?getft_integrator=clarivate&utm_source=clarivate&journalCode=fractals</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1142/S0218348X25300089" target="_blank" >10.1142/S0218348X25300089</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Fractal theory: A comprehensive review of applications across engineering disciplines
Popis výsledku v původním jazyce
Fractal theory has gained increasing attention across various engineering disciplines due to its ability to model complex, self-similar, and multiscale phenomena. This paper presents a comprehensive review of fractal applications in biomedical, mechanical, civil, environmental, and materials engineering. In particular, fractal analysis has enabled optimizing porous scaffolds in biomaterials to improve tissue integration and mechanical performance. In biomedical signal processing, fractal algorithms have improved the detection and classification of neurological disorders, particularly through electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) complexity measures. Additionally, fractal-based models have been effectively used in environmental engineering to improve the prediction and control of pollution dispersion in heterogeneous landscapes. This paper also outlines key theoretical foundations, computational methods, and domain-specific innovations, while identifying current challenges and future directions. By integrating these advances, this review provides a roadmap for using fractal theory in both theoretical research and practical applications.
Název v anglickém jazyce
Fractal theory: A comprehensive review of applications across engineering disciplines
Popis výsledku anglicky
Fractal theory has gained increasing attention across various engineering disciplines due to its ability to model complex, self-similar, and multiscale phenomena. This paper presents a comprehensive review of fractal applications in biomedical, mechanical, civil, environmental, and materials engineering. In particular, fractal analysis has enabled optimizing porous scaffolds in biomaterials to improve tissue integration and mechanical performance. In biomedical signal processing, fractal algorithms have improved the detection and classification of neurological disorders, particularly through electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) complexity measures. Additionally, fractal-based models have been effectively used in environmental engineering to improve the prediction and control of pollution dispersion in heterogeneous landscapes. This paper also outlines key theoretical foundations, computational methods, and domain-specific innovations, while identifying current challenges and future directions. By integrating these advances, this review provides a roadmap for using fractal theory in both theoretical research and practical applications.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10100 - Mathematics
Návaznosti výsledku
Projekt
—
Návaznosti
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Fractals - Complex Geometry Patterns and Scaling in Nature and Society
ISSN
0218-348X
e-ISSN
—
Svazek periodika
33
Číslo periodika v rámci svazku
07
Stát vydavatele periodika
SG - Singapurská republika
Počet stran výsledku
9
Strana od-do
—
Kód UT WoS článku
001530850300001
EID výsledku v databázi Scopus
—