Matches in SemOpenAlex for { <https://semopenalex.org/work/W3142750162> ?p ?o ?g. }
- W3142750162 endingPage "2386" @default.
- W3142750162 startingPage "2386" @default.
- W3142750162 abstract "Soil contamination by potentially toxic elements (PTEs) is intensifying under increasing industrialization. Thus, the ability to efficiently delineate contaminated sites is crucial. Visible–near infrared (vis–NIR: 350–2500 nm) and X-ray fluorescence (XRF: 0.02–41.08 keV) spectroscopic techniques have attracted tremendous attention for the assessment of PTEs. Recently, the application of fused vis–NIR and XRF spectroscopy, which is based on the complementary effect of data fusion, is also increasing. Moreover, different data manipulation methods, including feature selection approaches, affect the prediction performance. This study investigated the feasibility of using single and fused vis–NIR and XRF spectra while exploring feature selection algorithms for the assessment of key soil PTEs. The soil samples were collected from one of the most heavily polluted areas of the Czech Republic and scanned using laboratory vis–NIR and XRF spectrometers. Univariate filter (UF) and genetic algorithm (GA) were used to select the bands of greater importance for the PTE prediction. Support vector machine (SVM) was then used to train the models using the full-range and feature-selected spectra of single sensors and their fusion. It was found that XRF spectra alone (primarily GA-selected) performed better than single vis–NIR and fused spectral data for predictions of PTEs. Moreover, the prediction models that were derived from the fused data set (particularly the GA-selected) enhanced the models’ accuracies as compared with the single vis–NIR spectra. In general, the results suggest that the GA-selected spectra obtained from the single XRF spectrometer (for As and Pb) and from the fusion of vis–NIR and XRF (for Pb) are promising for accurate quantitative estimation detection of the mentioned PTEs." @default.
- W3142750162 created "2021-04-13" @default.
- W3142750162 creator A5009191259 @default.
- W3142750162 creator A5011992634 @default.
- W3142750162 creator A5021530302 @default.
- W3142750162 creator A5026895527 @default.
- W3142750162 creator A5029487366 @default.
- W3142750162 creator A5048563984 @default.
- W3142750162 creator A5056213122 @default.
- W3142750162 creator A5071624635 @default.
- W3142750162 creator A5087138964 @default.
- W3142750162 creator A5090081227 @default.
- W3142750162 date "2021-03-30" @default.
- W3142750162 modified "2023-10-11" @default.
- W3142750162 title "vis–NIR and XRF Data Fusion and Feature Selection to Estimate Potentially Toxic Elements in Soil" @default.
- W3142750162 cites W1148445081 @default.
- W3142750162 cites W1592341820 @default.
- W3142750162 cites W1831050183 @default.
- W3142750162 cites W1964503221 @default.
- W3142750162 cites W1980767976 @default.
- W3142750162 cites W1986756052 @default.
- W3142750162 cites W1987760411 @default.
- W3142750162 cites W1992117527 @default.
- W3142750162 cites W1993163033 @default.
- W3142750162 cites W1998053851 @default.
- W3142750162 cites W2001179019 @default.
- W3142750162 cites W2001569762 @default.
- W3142750162 cites W2002989254 @default.
- W3142750162 cites W2008140749 @default.
- W3142750162 cites W2009118062 @default.
- W3142750162 cites W2021754455 @default.
- W3142750162 cites W2025014611 @default.
- W3142750162 cites W2025857348 @default.
- W3142750162 cites W2026594876 @default.
- W3142750162 cites W203089406 @default.
- W3142750162 cites W2038641994 @default.
- W3142750162 cites W2045858843 @default.
- W3142750162 cites W2046413990 @default.
- W3142750162 cites W2047019718 @default.
- W3142750162 cites W2052903566 @default.
- W3142750162 cites W2058096965 @default.
- W3142750162 cites W2073858026 @default.
- W3142750162 cites W2077689075 @default.
- W3142750162 cites W2079476441 @default.
- W3142750162 cites W2082938293 @default.
- W3142750162 cites W2082950852 @default.
- W3142750162 cites W2109606373 @default.
- W3142750162 cites W2115473362 @default.
- W3142750162 cites W2126611570 @default.
- W3142750162 cites W2165993842 @default.
- W3142750162 cites W2170514496 @default.
- W3142750162 cites W2216636650 @default.
- W3142750162 cites W2217791129 @default.
- W3142750162 cites W2326266029 @default.
- W3142750162 cites W2339216980 @default.
- W3142750162 cites W2394786463 @default.
- W3142750162 cites W2425993113 @default.
- W3142750162 cites W2590486621 @default.
- W3142750162 cites W2597095173 @default.
- W3142750162 cites W2754473040 @default.
- W3142750162 cites W2782072844 @default.
- W3142750162 cites W2788220685 @default.
- W3142750162 cites W2793911617 @default.
- W3142750162 cites W2800441203 @default.
- W3142750162 cites W2802370160 @default.
- W3142750162 cites W2883891091 @default.
- W3142750162 cites W2888610957 @default.
- W3142750162 cites W2893324711 @default.
- W3142750162 cites W2894980471 @default.
- W3142750162 cites W2911627187 @default.
- W3142750162 cites W2912648180 @default.
- W3142750162 cites W2955980286 @default.
- W3142750162 cites W2968204211 @default.
- W3142750162 cites W2972164833 @default.
- W3142750162 cites W2977218533 @default.
- W3142750162 cites W2981438556 @default.
- W3142750162 cites W2997975120 @default.
- W3142750162 cites W3000594489 @default.
- W3142750162 cites W3002209846 @default.
- W3142750162 cites W3018021150 @default.
- W3142750162 cites W3036822607 @default.
- W3142750162 cites W3083277533 @default.
- W3142750162 cites W3103589903 @default.
- W3142750162 cites W40397213 @default.
- W3142750162 cites W4248941179 @default.
- W3142750162 doi "https://doi.org/10.3390/s21072386" @default.
- W3142750162 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8037398" @default.
- W3142750162 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33808185" @default.
- W3142750162 hasPublicationYear "2021" @default.
- W3142750162 type Work @default.
- W3142750162 sameAs 3142750162 @default.
- W3142750162 citedByCount "20" @default.
- W3142750162 countsByYear W31427501622022 @default.
- W3142750162 countsByYear W31427501622023 @default.
- W3142750162 crossrefType "journal-article" @default.
- W3142750162 hasAuthorship W3142750162A5009191259 @default.
- W3142750162 hasAuthorship W3142750162A5011992634 @default.
- W3142750162 hasAuthorship W3142750162A5021530302 @default.