Evaluation of pattern recognition techniques for the attribution of cultural heritage objects based on the qualitative XRF data

Andrić, Velibor; Gajić-Kvaščev, Maja; Crkvenjakov, Daniela Korolija; Marić-Stojanović, Milica; Gadžurić, Slobodan

doi:10.1016/j.microc.2021.106267

Cited by 16 publications

(11 citation statements)

References 21 publications

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“…To the point, the method of text document analysis substantially needs a new way to classify and understand text documents. In particular, text document analysis requires a qualitative technique that is not machine-driven but rather human-centered (Andric et al 2021 ). In short, human interpretation of text documents is urgently needed to enhance the metric-driven process of text document analysis.…”

Section: Methodsmentioning

confidence: 99%

Application of the “water flow decision pattern” to Asian disaster response

2022

Appl Water Sci

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This research aimed to provide a new decision pattern toward the ultimate goal of improving Asian disaster management. The “water flow decision pattern,” which is likened to the natural flow of water, was proposed to facilitate smooth decision-making by decision makers. Text document analysis with emphasis on a qualitative technique was used as the major methodology. Five failure cases were analyzed: the sinking of the ferry Sewol in Korea, the drought in India, the SARS outbreak in China, the nuclear leakage in Fukushima, and the typhoon Haiyan in the Philippines. The key finding was that the water flow decision pattern comprehensively combines five decision factors, namely, weight, availability, timeliness, emplacement, and roundabout. Hence, Asian nations may consider its application as a theoretical frame in the future, after appropriate training and exercise are carried out.

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Section: Methodsmentioning

confidence: 99%

Application of the “water flow decision pattern” to Asian disaster response

2022

Appl Water Sci

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“…An evaluation of pattern recognition techniques for the attribution of cultural heritage objects based on portable XRF data was presented by Andric et al 359 A study campaign conducted jointly by scientists, art historians and curators used portable XRF instruments to examine well-preserved and reliably dated icons from four different centuries. A large number of spectra of each were obtained and the data were then treated using an assortment and sometimes a combination of pattern recognition techniques including PCA, Hierarchical Cluster Analysis (HCA) and Scattering Matrix-Based Dimension Reduction (SMBDR).…”

Section: Cultural Heritagementioning

confidence: 99%

Atomic spectrometry update: review of advances in the analysis of metals, chemicals and materials

Carter¹,

Clough

Fisher

et al. 2022

J. Anal. At. Spectrom.

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“…PCAs were performed on data matrices constructed using the FTIR spectra of pigments by selecting specific IR regions in accordance with the characteristic absorptions of the main chromophores present in the samples. Separately, PCA was performed on the XRF spectra by incorporating the net area counts of the Kα (for elements with Z < 45) or Lα (for elements with Z > 45) peaks of each detected element related to the samples, normalized to the Rayleigh scattering peak of rhodium, Rh Kα, for each element [57][58][59]. The XRF spectral data were organized in a 31 × 22 matrix, where each line represented a pigment and the columns represented the counts corresponding to specific elements.…”

Section: Multivariate Data Analysismentioning

confidence: 99%

Assessment of Easily Accessible Spectroscopic Techniques Coupled with Multivariate Analysis for the Qualitative Characterization and Differentiation of Earth Pigments of Various Provenance

et al. 2022

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Natural minerals and earths with coloring properties have been widely used as artistic pigments since prehistoric times. Despite being extensively studied, the complex chemistry of earth pigments is still unsatisfactory described with respect to their mineralogical and structural variability and origin. In this study, a large group of earth pigments from various geographical locations was investigated using easily accessible spectroscopic techniques and multivariate analysis with the aim to identify distinctive mineralogical and chemical characteristics of natural pigment sources. Portable X-ray fluorescence (p-XRF), Fourier transform infrared spectroscopy (FTIR) and fiberoptic Raman spectroscopy were used for the elemental, molecular and structural characterization of the investigated pigments. Diagnostic spectral features and chemical patterns (fingerprints) were identified and discussed with respect to their geological sources. Due to the occurrence of similar accompanying minerals, it was observed that the differentiation of red and yellow ochers is more challenging compared to green, brown and black pigments. However, for some of the investigated pigments, the presence of certain accessory minerals and/or of certain chemical patterns can have diagnostic value. Principal component analysis (PCA) of the FTIR and XRF data matrices showed promising results in terms of geological attribution, highlighting a promising tool for provenance research. The results of the study demonstrate the potential benefits of this rapid and nondestructive approach for the characterization and differentiation of earth pigments with similar hues coming from different geological sources.

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Evaluation of pattern recognition techniques for the attribution of cultural heritage objects based on the qualitative XRF data

Cited by 16 publications

References 21 publications

Application of the “water flow decision pattern” to Asian disaster response

Application of the “water flow decision pattern” to Asian disaster response

Atomic spectrometry update: review of advances in the analysis of metals, chemicals and materials

Assessment of Easily Accessible Spectroscopic Techniques Coupled with Multivariate Analysis for the Qualitative Characterization and Differentiation of Earth Pigments of Various Provenance

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