Kudayeva F.Kh. Comparative Analysis of Noise Filtering Methods Under Low Temperature Exposure on Bio-Tissue
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https://doi.org/10.15688/mpcm.jvolsu.2025.3.5
Fatimat Kh. Kudayeva
Candidate of Sciences (Physics and Mathematics), Associate Professor, Department of Applied Mathematics and Computer Science, Institute of Artificial Intelligence and Digital Technologies, Kabardino-Balkarian State University named after Kh.M. Berbekov
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https://orcid.org/0000-0002-1026-3280
Chernyshevskogo St, 173, 360004 Nalchik, Russian Federation
Abstract. The problem with interference and noise occurs when low temperatures affect the layered structure of the epidermis of biological tissues. Noise filtering is necessary to obtain an accurate signal that is used for data analysis and interpretation. The paper provides a comparative analysis of noise filtering methods used in the study of low-temperature effects on biological tissues. The analysis takes into account the unique aspects of low-temperature exposure, noise characteristics, as well as requirements for accuracy and interpretation of data. The novelty of the results lies in a systematic and integrated approach to assessing the effectiveness and applicability of noise filtering methods precisely in the context of the field of research on thermal processes associated with low-temperature effects on biological tissues. The results obtained will play an important role in improving the accuracy of diagnosis and treatment in healthcare, will contribute to expanding the possibilities of biological research, as well as to the development of more effective noise filtering methods and more reliable research results in such important areas
Key words: low-temperature exposure, noise filtering, problem with free boundaries, thermal processes, temperature field, biological tissue, machine learning methods, least squares method.
Comparative Analysis of Noise Filtering Methods Under Low Temperature Exposure on Bio-Tissue by Kudayeva F.Kh. is licensed under a Creative Commons Attribution 4.0 International License.
Citation in English: Mathematical Physics and Computer Simulation. Vol. 28 No. 3 2025, pp. 50-66
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