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software matlab r2015  (MathWorks Inc)


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    MathWorks Inc software matlab r2015
    Software Matlab R2015, 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/software+matlab+r2015/pm38002067-58-0-4
    Average 90 stars, based on 1 article reviews
    software matlab r2015 - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Expert systems as a tool to manage accident risks in grain storage facilities
    Article Snippet: In order to elaborate the intended mathematical model, the software MATLAB R2015 R© (MATHWORKS, 2015) was used, which enables to work with the Theory of Fuzzy Set.

    Software:

    Article Title: Monitoring the Efficacy of High-Flow Nasal Cannula Oxygen Therapy in Patients with Acute Hypoxemic Respiratory Failure in the General Respiratory Ward: A Prospective Observational Study.
    Article Snippet: .. Custom software programmed in MATLAB R2015 (MathWorks Inc., Natick, MA, USA) was used for the offline analysis of the EIT data. ..



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    MathWorks Inc in-house software routine implemented in matlab r2015
    Scheme of the protocol used for non-invasive phenotyping of barley ( Hordeum vulgare ) seedlings growing under water stress conditions. (A) Barley seeds were germinated on filter paper and 50 seedlings of similar radicle size were transplanted into soil in standardized PlantScreen™ measuring trays. (B) The trays were transferred to an XYZ PlantScreen™ chamber with a conveyor system for automatic image acquisition. (C) The canopy height was analyzed using an in-house software routine implemented in MatLab <t>R2015,</t> and the data were evaluated by multivariate statistical analyses using Phyton version 3.6.5 and R version 3.5.1.
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    MathWorks Inc in-house-developed software written in matlab r2015
    Scheme of the protocol used for non-invasive phenotyping of barley ( Hordeum vulgare ) seedlings growing under water stress conditions. (A) Barley seeds were germinated on filter paper and 50 seedlings of similar radicle size were transplanted into soil in standardized PlantScreen™ measuring trays. (B) The trays were transferred to an XYZ PlantScreen™ chamber with a conveyor system for automatic image acquisition. (C) The canopy height was analyzed using an in-house software routine implemented in MatLab <t>R2015,</t> and the data were evaluated by multivariate statistical analyses using Phyton version 3.6.5 and R version 3.5.1.
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    Scheme of the protocol used for non-invasive phenotyping of barley ( Hordeum vulgare ) seedlings growing under water stress conditions. (A) Barley seeds were germinated on filter paper and 50 seedlings of similar radicle size were transplanted into soil in standardized PlantScreen™ measuring trays. (B) The trays were transferred to an XYZ PlantScreen™ chamber with a conveyor system for automatic image acquisition. (C) The canopy height was analyzed using an in-house software routine implemented in MatLab R2015, and the data were evaluated by multivariate statistical analyses using Phyton version 3.6.5 and R version 3.5.1.

    Journal: Frontiers in Plant Science

    Article Title: A Novel Image-Based Screening Method to Study Water-Deficit Response and Recovery of Barley Populations Using Canopy Dynamics Phenotyping and Simple Metabolite Profiling

    doi: 10.3389/fpls.2019.01252

    Figure Lengend Snippet: Scheme of the protocol used for non-invasive phenotyping of barley ( Hordeum vulgare ) seedlings growing under water stress conditions. (A) Barley seeds were germinated on filter paper and 50 seedlings of similar radicle size were transplanted into soil in standardized PlantScreen™ measuring trays. (B) The trays were transferred to an XYZ PlantScreen™ chamber with a conveyor system for automatic image acquisition. (C) The canopy height was analyzed using an in-house software routine implemented in MatLab R2015, and the data were evaluated by multivariate statistical analyses using Phyton version 3.6.5 and R version 3.5.1.

    Article Snippet: The side-view RGB images were analyzed using an in-house software routine implemented in MatLab R2015 that was developed and validated by the authors of this study.

    Techniques: Software