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This is a Quantitative Study study.

October 2, 2025AlgorithmsOpen Access

Addressing Air Pollution Challenges: An Integrated Algorithmic Approach Towards Safeguarding Built Heritage

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Novel workflow identifies pollution sources and degradation patterns in built heritage, suggesting algorithmic approaches enhance diagnostics.

The integrated algorithm successfully identified pollution sources and degradation patterns in built heritage.
Analysis combined Raman spectroscopy and micro-XRF spectrometry data, improving clarity and reducing subjectivity.
The methodology employed machine learning techniques for peak detection and dimensionality analysis of data streams.
This approach highlights the value of algorithmic methods in the preservation of cultural heritage, supporting future applications.

Mitsos et al. (2025) studied this question.

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Novel workflow identifies pollution sources and degradation patterns in built heritage, suggesting algorithmic approaches enhance diagnostics.