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parallel factor (parafac) algorithm  (MathWorks Inc)


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    MathWorks Inc parallel factor (parafac) algorithm
    Parallel Factor (Parafac) Algorithm, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/parafac+algorithm/pm36149390-92-8-22
    Average 90 stars, based on 1 article reviews
    parallel factor (parafac) algorithm - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    other:

    Article Title: Contrasting optical properties of dissolved organic matter between oceanic regions near the Getz and Dotson ice shelves in the Amundsen Sea, West Antarctica
    Article Snippet: The EEMs of the water samples (n = 306) were analyzed using the parallel factor (PARAFAC) modeling in MATLAB, with the DOM Fluor toolbox, following the methodology described by Stedmon and Bro (2008).

    Article Title: Humic substance mitigated the microplastic-induced inhibition of hydroxyl radical production in riparian sediment.
    Article Snippet: • Presence of MPs on⋅OH production from riparian sediments were studied.. • MPs inhibited⋅OH production by 27 % and 7.5 % for VB and VL sediments,

    Article Title: Biofilm-Colonized versus Virgin Black Microplastics to Accelerate the Photodegradation of Tetracycline in Aquatic Environments: Analysis of Underneath Mechanisms.
    Article Snippet: Tire wear particles (TWPs) exposed to the aquatic environment are rapidly colonized by microorganisms and provide unique substrates for biofilm formation, which potentially serve as vectors for tetracycline (TC) to influence their behaviors and potential risks.. To date, the photodegradation capacity of TWPs on contaminants due to biofilm formation has not been quantified.. To accomplish this, we examined the ability of virgin TWPs (V-TWPs) and biofilm-developed TWPs (Bio-TWPs) to photodegrade TC when exposed to simulated sunlight irradiation.

    Fluorescence:

    Article Title: Three-dimensional fluorescence combined with alternating trilinear decomposition and random forest algorithm for the rapid prediction of species, geographical origin and main components of Glycyrrhizae Radix et Rhizoma (Gancao).
    Article Snippet: Glycyrrhizae Radix et Rhizoma (Gancao) is a functional food whose quality varies significantly between distinct geographical sources owing to the influence of genetics and the geographical environment.. This study employed three-dimensional fluorescence coupled with alternating trilinear decomposition (ATLD) and random forest (RF) algorithms to rapidly predict Gancao species, geographical origins, and primary constituents.. Seven fluorescent components were resolved from the three-dimensional fluorescence of the ATLD for subsequent analysis.

    Article Title: Using fluorescence spectroscopy of DOM as an indicator of human-derived pollution: a case study in the Chongqing-Three Gorges section of the Yangtze River.
    Article Snippet: This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record.. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article.. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

    Software:

    Article Title: Three-dimensional fluorescence combined with alternating trilinear decomposition and random forest algorithm for the rapid prediction of species, geographical origin and main components of Glycyrrhizae Radix et Rhizoma (Gancao).
    Article Snippet: Glycyrrhizae Radix et Rhizoma (Gancao) is a functional food whose quality varies significantly between distinct geographical sources owing to the influence of genetics and the geographical environment.. This study employed three-dimensional fluorescence coupled with alternating trilinear decomposition (ATLD) and random forest (RF) algorithms to rapidly predict Gancao species, geographical origins, and primary constituents.. Seven fluorescent components were resolved from the three-dimensional fluorescence of the ATLD for subsequent analysis.



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