Fractal and Fractional Analysis in Biomedical Sciences and Engineering
Over the past two decades, various signal and image analyses, as well as bioinformatics approaches, have had a significant impact on research in life sciences. Problems arising in medical and biological research depend on a multitude of system parameters, often in a nonlinear way; these problems can...
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| Materyal Türü: | Online |
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| Dil: | İngilizce |
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MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Konular: | |
| Online Erişim: | https://directory.doabooks.org/handle/20.500.12854/170660 |
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| _version_ | 1869530301953212416 |
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| collection | Directory of Open Access Books |
| description | Over the past two decades, various signal and image analyses, as well as bioinformatics approaches, have had a significant impact on research in life sciences. Problems arising in medical and biological research depend on a multitude of system parameters, often in a nonlinear way; these problems can often be successfully addressed via the tools of complex system analysis. Fractal and fractional analysis, originally rooted in theoretical developments, has later been recognized as well-suited for analyzing problems that occur in nature. Due to the random multiplicative processes in an organism, influencing growth, differentiation, and function, structures can be described in terms of scaled copies of self-similar entities. Machine learning and artificial intelligence are increasingly being employed in combination with fractional calculus. This Special Issue Reprint offers an overview of state-of-the-art developments in the field of fractal and fractional-based methodologies as applied to the analysis and modeling of biological entities. Eight out of ten articles directly target cutting-edge medical problems. It is highly multidisciplinary and is expected to be of interest to researchers from the health sector, life sciences, and applied mathematics, as well as to readers with different academic or practical backgrounds. |
| format | Online |
| id | doab-20.500.12854ir-170660 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1706602026-01-02T16:22:47Z Fractal and Fractional Analysis in Biomedical Sciences and Engineering Ilić, Andjelija Ž. biosystem dynamics biomarkers data classification fitting mathematical models neural networks image and signal processing diagnostics and monitoring tumor microenvironment cell nuclei non-integer modeling Over the past two decades, various signal and image analyses, as well as bioinformatics approaches, have had a significant impact on research in life sciences. Problems arising in medical and biological research depend on a multitude of system parameters, often in a nonlinear way; these problems can often be successfully addressed via the tools of complex system analysis. Fractal and fractional analysis, originally rooted in theoretical developments, has later been recognized as well-suited for analyzing problems that occur in nature. Due to the random multiplicative processes in an organism, influencing growth, differentiation, and function, structures can be described in terms of scaled copies of self-similar entities. Machine learning and artificial intelligence are increasingly being employed in combination with fractional calculus. This Special Issue Reprint offers an overview of state-of-the-art developments in the field of fractal and fractional-based methodologies as applied to the analysis and modeling of biological entities. Eight out of ten articles directly target cutting-edge medical problems. It is highly multidisciplinary and is expected to be of interest to researchers from the health sector, life sciences, and applied mathematics, as well as to readers with different academic or practical backgrounds. 2026-01-02T16:22:44Z 2026-01-02T16:22:44Z 2025 book 978-3-7258-4847-8 https://directory.doabooks.org/handle/20.500.12854/170660 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/11389 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-4848-5 10.3390/books978-3-7258-4848-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 978-3-7258-4847-8 174 CH open access |
| spellingShingle | biosystem dynamics biomarkers data classification fitting mathematical models neural networks image and signal processing diagnostics and monitoring tumor microenvironment cell nuclei non-integer modeling Fractal and Fractional Analysis in Biomedical Sciences and Engineering |
| title | Fractal and Fractional Analysis in Biomedical Sciences and Engineering |
| title_full | Fractal and Fractional Analysis in Biomedical Sciences and Engineering |
| title_fullStr | Fractal and Fractional Analysis in Biomedical Sciences and Engineering |
| title_full_unstemmed | Fractal and Fractional Analysis in Biomedical Sciences and Engineering |
| title_short | Fractal and Fractional Analysis in Biomedical Sciences and Engineering |
| title_sort | fractal and fractional analysis in biomedical sciences and engineering |
| topic | biosystem dynamics biomarkers data classification fitting mathematical models neural networks image and signal processing diagnostics and monitoring tumor microenvironment cell nuclei non-integer modeling |
| topic_facet | biosystem dynamics biomarkers data classification fitting mathematical models neural networks image and signal processing diagnostics and monitoring tumor microenvironment cell nuclei non-integer modeling |
| url | https://directory.doabooks.org/handle/20.500.12854/170660 |