FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3102603614> ?p ?o ?g. }

• W3102603614 endingPage "544" @default.
• W3102603614 startingPage "531" @default.
• W3102603614 abstract "Many spectra have a polynomial-like baseline. Iterative polynomial fitting is one of the most popular methods for baseline correction of these spectra. However, the baseline estimated by iterative polynomial fitting may have a substantial error when the spectrum contains significantly strong peaks or have strong peaks located at the endpoints. First, iterative polynomial fitting uses temporary baseline estimated from the current spectrum to identify peak data points. If the current spectrum contains strong peaks, then the temporary baseline substantially deviates from the true baseline. Some good baseline data points of the spectrum might be mistakenly identified as peak data points and are artificially re-assigned with a low value. Second, if a strong peak is located at the endpoint of the spectrum, then the endpoint region of the estimated baseline might have a significant error due to overfitting. This study proposes a search algorithm-based baseline correction method (SA) that aims to compress sample the raw spectrum to a dataset with small number of data points and then convert the peak removal process into solving a search problem in artificial intelligence to minimize an objective function by deleting peak data points. First, the raw spectrum is smoothened out by the moving average method to reduce noise and then divided into dozens of unequally spaced sections on the basis of Chebyshev nodes. Finally, the minimal points of each section are collected to form a dataset for peak removal through search algorithm. SA selects the mean absolute error as the objective function because of its sensitivity to overfitting and rapid calculation. The baseline correction performance of SA is compared with those of three baseline correction methods, the Lieber and Mahadevan-Jansen method, adaptive iteratively reweighted penalized least squares method, and improved asymmetric least squares method. Simulated and real Fourier transform infrared and Raman spectra with polynomial-like baselines are employed in the experiments. Results show that for these spectra the baseline estimated by SA has fewer error than those by the three other methods." @default.
• W3102603614 created "2020-11-23" @default.
• W3102603614 creator A5006822602 @default.
• W3102603614 creator A5065418722 @default.
• W3102603614 date "2021-01-06" @default.
• W3102603614 modified "2023-09-23" @default.
• W3102603614 title "Baseline Correction Based on a Search Algorithm from Artificial Intelligence" @default.
• W3102603614 cites W1923280488 @default.
• W3102603614 cites W1986299364 @default.
• W3102603614 cites W1992866504 @default.
• W3102603614 cites W1999478567 @default.
• W3102603614 cites W2005317708 @default.
• W3102603614 cites W2008858320 @default.
• W3102603614 cites W2015842443 @default.
• W3102603614 cites W2016365402 @default.
• W3102603614 cites W2031777815 @default.
• W3102603614 cites W2054185706 @default.
• W3102603614 cites W2059265412 @default.
• W3102603614 cites W2062123859 @default.
• W3102603614 cites W2067487519 @default.
• W3102603614 cites W2078376347 @default.
• W3102603614 cites W2081907822 @default.
• W3102603614 cites W2089370605 @default.
• W3102603614 cites W2091998550 @default.
• W3102603614 cites W2109606373 @default.
• W3102603614 cites W2127673401 @default.
• W3102603614 cites W2131609441 @default.
• W3102603614 cites W2153962777 @default.
• W3102603614 cites W2170903587 @default.
• W3102603614 cites W2279257633 @default.
• W3102603614 cites W2612174473 @default.
• W3102603614 cites W2977797911 @default.
• W3102603614 cites W2978707514 @default.
• W3102603614 doi "https://doi.org/10.1177/0003702820977512" @default.
• W3102603614 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33215516" @default.
• W3102603614 hasPublicationYear "2021" @default.
• W3102603614 type Work @default.
• W3102603614 sameAs 3102603614 @default.
• W3102603614 citedByCount "4" @default.
• W3102603614 countsByYear W31026036142021 @default.
• W3102603614 countsByYear W31026036142022 @default.
• W3102603614 countsByYear W31026036142023 @default.
• W3102603614 crossrefType "journal-article" @default.
• W3102603614 hasAuthorship W3102603614A5006822602 @default.
• W3102603614 hasAuthorship W3102603614A5065418722 @default.
• W3102603614 hasConcept C111368507 @default.
• W3102603614 hasConcept C11413529 @default.
• W3102603614 hasConcept C12725497 @default.
• W3102603614 hasConcept C127313418 @default.
• W3102603614 hasConcept C134306372 @default.
• W3102603614 hasConcept C154945302 @default.
• W3102603614 hasConcept C21080849 @default.
• W3102603614 hasConcept C22019652 @default.
• W3102603614 hasConcept C33923547 @default.
• W3102603614 hasConcept C41008148 @default.
• W3102603614 hasConcept C50644808 @default.
• W3102603614 hasConcept C90119067 @default.
• W3102603614 hasConceptScore W3102603614C111368507 @default.
• W3102603614 hasConceptScore W3102603614C11413529 @default.
• W3102603614 hasConceptScore W3102603614C12725497 @default.
• W3102603614 hasConceptScore W3102603614C127313418 @default.
• W3102603614 hasConceptScore W3102603614C134306372 @default.
• W3102603614 hasConceptScore W3102603614C154945302 @default.
• W3102603614 hasConceptScore W3102603614C21080849 @default.
• W3102603614 hasConceptScore W3102603614C22019652 @default.
• W3102603614 hasConceptScore W3102603614C33923547 @default.
• W3102603614 hasConceptScore W3102603614C41008148 @default.
• W3102603614 hasConceptScore W3102603614C50644808 @default.
• W3102603614 hasConceptScore W3102603614C90119067 @default.
• W3102603614 hasFunder F4320321001 @default.
• W3102603614 hasIssue "5" @default.
• W3102603614 hasLocation W31026036141 @default.
• W3102603614 hasOpenAccess W3102603614 @default.
• W3102603614 hasPrimaryLocation W31026036141 @default.
• W3102603614 hasRelatedWork W2001919142 @default.
• W3102603614 hasRelatedWork W2101452068 @default.
• W3102603614 hasRelatedWork W2139425735 @default.
• W3102603614 hasRelatedWork W2351491280 @default.
• W3102603614 hasRelatedWork W2584913909 @default.
• W3102603614 hasRelatedWork W303980170 @default.
• W3102603614 hasRelatedWork W3102603614 @default.
• W3102603614 hasRelatedWork W3159087789 @default.
• W3102603614 hasRelatedWork W3197955617 @default.
• W3102603614 hasRelatedWork W4309655118 @default.
• W3102603614 hasVolume "75" @default.
• W3102603614 isParatext "false" @default.
• W3102603614 isRetracted "false" @default.
• W3102603614 magId "3102603614" @default.
• W3102603614 workType "article" @default.