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matlab version r2017b  (MathWorks Inc)


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    MathWorks Inc matlab version r2017b
    Matlab Version R2017b, 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/matlab+version+r2017b/us12360099-387-0-0
    Average 90 stars, based on 1 article reviews
    matlab version r2017b - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Neural evidence that humans reuse strategies to solve new tasks.
    Article Snippet: The main experimental tasks were run on a stimulus PC with a spatial resolution of 1,024 × 768 and a refresh rate of 60 Hz, which projected to a magnetically safe screen for participants inside the scanner (MATLAB version R2017b).

    Article Title: Neural Prioritisation of Past Solutions Supports Generalisation
    Article Snippet: The main experimental tasks were run on a stimulus PC with a spatial resolution of 1024 × 768 and a refresh rate of 60Hz, which projected to a magnetically safe screen for participants inside the scanner (MATLAB version R2017b).

    Article Title: Breast-torso movement coordination during running in different breast support
    Article Snippet: Data were converted into .c3d files and processed in Visual3D (Version 6, C-Motion, Inc., Germantown, MD, USA), from which they were exported to text files and further processed in MATLAB (Version R2017b, MathWorks Inc., USA).

    Article Title: Development of a blending design space model to control blend uniformity in a mini-batch direct compression line
    Article Snippet: Blending is a common unit operation in the manufacturing of oral solid forms that is evaluated during process development to ensure a homogeneous API (Active Pharmaceutical Ingredient) distribution in the formulation.. For batch processes, appropriate blending parameter ranges are established during the scale-up from pilot to commercial scale.. Continuous processes on the other hand typically do not scale in equipment size, but rather in process time to increase the batch volume.

    Transformation Assay:

    Article Title: Pareto Front Transformation in the Decision-Making Process for Spectral and Energy Efficiency Trade-Off in Massive MIMO Systems
    Article Snippet: .. The next step in the simulation is the transformation of the Pareto Front in MATLAB, version R2017b, according to the Box–Cox transform described in . ..

    Article Title: Pareto Front Transformation in the Decision-Making Process for Spectral and Energy Efficiency Trade-Off in Massive MIMO Systems.
    Article Snippet: .. The next step in the simulation is the transformation of the Pareto Front in MATLAB, version R2017b, according to the Box–Cox transform described in Section 3. ..



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    Image Search Results


    Imaging and  radiomics  methodology.

    Journal: Tomography

    Article Title: A Scoping Review of Machine-Learning Derived Radiomic Analysis of CT and PET Imaging to Investigate Atherosclerotic Cardiovascular Disease

    doi: 10.3390/tomography10090108

    Figure Lengend Snippet: Imaging and radiomics methodology.

    Article Snippet: Kafouris et al. [ ] , PET/CT using 0.14 mCi/kg 18 F-FDG , Adherence to radiomics guidelines: features extracted according to IBSI guidelines Feature extraction software: in-house software based on Matlab platform (Version 9.3, Matlab R2017b, Natick, MA, USA) , Segmentation: manual segmentation around the carotid artery wall Features extracted: first order, GLCM, GLRLM, GLSZM and NGTDM Machine learning techniques: univariate logistic regression , Performance assessment: AUC from the ROC Internal validation: bootstrapping generating 200 bootstrap samples No external validation.

    Techniques: Imaging, Extraction, Software, Biomarker Discovery, Construct, Activity Assay