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<p>The problem of interference and noise arises when low temperatures affect the layered structure of the epidermis of biological tissues. Noise filtering is necessary to obtain an accurate signal used for data analysis and interpretation. This study provides a&#xa0;comparative analysis of noise filtering methods applied in the study of low-temperature effects on biological tissues. The analysis considers the unique aspects of low-temperature exposure, noise characteristics, and the requirements for accuracy and data interpretation.</p><p>The novelty of the results lies in a&#xa0;systematic and comprehensive approach to evaluating the effectiveness and applicability of noise filtering methods specifically within the context of research on thermal processes associated with low-temperature exposure to biological tissues. The findings will play a&#xa0;significant role in improving the accuracy of diagnosis and treatment in healthcare, expanding opportunities for biological research, and contributing to the development of more effective noise filtering methods and more reliable research outcomes in these critical areas.</p>

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Comparative analysis of noise filtering methods under low-temperature exposure on biological tissue

  • 期刊论文

  • 发表日期：

    2025年1月1日

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  • Fatimat Khuseynovna Kudayeva

摘要

The problem of interference and noise arises when low temperatures affect the layered structure of the epidermis of biological tissues. Noise filtering is necessary to obtain an accurate signal used for data analysis and interpretation. This study provides a comparative analysis of noise filtering methods applied in the study of low-temperature effects on biological tissues. The analysis considers the unique aspects of low-temperature exposure, noise characteristics, and the requirements for accuracy and data interpretation.

The novelty of the results lies in a systematic and comprehensive approach to evaluating the effectiveness and applicability of noise filtering methods specifically within the context of research on thermal processes associated with low-temperature exposure to biological tissues. The findings will play a significant role in improving the accuracy of diagnosis and treatment in healthcare, expanding opportunities for biological research, and contributing to the development of more effective noise filtering methods and more reliable research outcomes in these critical areas.