首页|Recent Findings in Machine Learning Described by Researchers from University of Granada (Machine Learning Regression Algorithms for Generating Chemical Element Maps From X-ray Fluorescence Data of Paintings)
Recent Findings in Machine Learning Described by Researchers from University of Granada (Machine Learning Regression Algorithms for Generating Chemical Element Maps From X-ray Fluorescence Data of Paintings)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Current study results on Machine Learning have be en published. According to news reporting out of Granada, Spain, by NewsRx edito rs, research stated, “Generating chemical element maps of paintings from X-ray f luorescence (XRF) data is a very valuable tool for the scientific community of c onservators and art historians. Hand-held XRF scanners are cheap and easily port able but their use provides scans with a few data, so additional analytical tool s are needed to obtain reliable chemical element maps from them.” Financial supporters for this research include Spanish Government, ERDF funds, R egional Government of Andalusia/Ministry of Economic Transformation, Industry, K nowledge and Universities, Health Institute Carlos III/Spanish Ministry of Scien ce, Innovation and Universities, Spanish Government, Universidad de Granada-Spai n.
GranadaSpainEuropeAlgorithmsCybo rgsEmerging TechnologiesMachine LearningUniversity of Granada
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