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matlab mathworks  (MathWorks Inc)


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    MathWorks Inc matlab mathworks
    Matlab Mathworks, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 324 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/otsu+thresholding+algorithm/MATLAB+Compiler/pm39045628-122-40-41
    Average 96 stars, based on 324 article reviews
    matlab mathworks - by Bioz Stars, 2026-10
    96/100 stars

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    Article Title: An Integrated Framework for Automated Image Segmentation and Personalized Wall Stress Estimation of Abdominal Aortic Aneurysms.
    Article Snippet: The script can be compiled into a standalone executable (e.g., via MATLAB Compiler) that runs with the free MATLAB Runtime, so end users do not require a MATLAB license [45].

    Article Title: RUBAT Studio: A Unified Workbench for Multichannel Bioacoustic Data Acquisition
    Article Snippet: RUBAT Studio v4.0 was packaged using the MATLAB Application Compiler to produce standalone executables requiring only the freely distributable MATLAB Runtime.

    Article Title: Autophagy dysfunction in iPSCs-derived neurons and midbrain organoids carrying a SNCA triplication.
    Article Snippet: Neural stat compiler files were used for data analysis in MATLAB.

    Article Title: Predicting Cell Adhesion States on Nanopillar Arrays with a Nano‐Bio Interface Model: From Modeling to Functional Device Design
    Article Snippet: Nanopillar arrays (NAs) are widely employed as versatile nanostructures for biological applications.. Cells on NAs adopt three adhesion states—“top”, “middle”, and “bottom”—each corresponding to distinct biological functions.. Although these adhesion states are influenced by NAs geometry, existing models overlook the role of the membrane reservoir—an intrinsic cellular property—in regulating membrane tension during cell settling, resulting in an incomplete mechanistic understanding and limited predictive capability.

    Article Title: An Integrated Framework for Automated Image Segmentation and Personalized Wall Stress Estimation of Abdominal Aortic Aneurysms
    Article Snippet: The script can be compiled into a standalone executable (e.g., via MATLAB Compiler) that runs with the free MATLAB Runtime, so end users do not require a MATLAB license [ ].

    Generated:

    Article Title: WAH- i : Optimising Microphone Array Geometry for Customised Localisation Accuracy
    Article Snippet: .. To support deployment beyond a MATLAB development environment, standalone executables were generated using the MATLAB Compiler ( ). ..



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    Artificial Neural Network (ANN) applications in hyperspectral image analysis of food products.

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    Deep Learning (DL) applications in hyperspectral image analysis of food products.

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    Techniques: Biomarker Discovery, Software, Activation Assay, Control, Extraction

    Support Vector Machines (SVM) applications in hyperspectral image analysis of food products.

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    Figure Lengend Snippet: Support Vector Machines (SVM) applications in hyperspectral image analysis of food products.

    Article Snippet: Detection of stored insects in rice and maize , 400–1000 , Normalization , Otsu algorithm for image thresholding , Back Propagation Neural Network , 01 , – , 03 , – , 01 , – , 60:40 , MATLAB R2009b , 98% , .

    Techniques: Plasmid Preparation, Biomarker Discovery, Software, Infection, Sampling

    Decision trees (DT) applications in hyperspectral image analysis of food products.

    Journal: Current Research in Food Science

    Article Title: Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review

    doi: 10.1016/j.crfs.2021.01.002

    Figure Lengend Snippet: Decision trees (DT) applications in hyperspectral image analysis of food products.

    Article Snippet: Detection of stored insects in rice and maize , 400–1000 , Normalization , Otsu algorithm for image thresholding , Back Propagation Neural Network , 01 , – , 03 , – , 01 , – , 60:40 , MATLAB R2009b , 98% , .

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    Random Forest (RF) applications in hyperspectral image analysis of food products.

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    Figure Lengend Snippet: Random Forest (RF) applications in hyperspectral image analysis of food products.

    Article Snippet: Detection of stored insects in rice and maize , 400–1000 , Normalization , Otsu algorithm for image thresholding , Back Propagation Neural Network , 01 , – , 03 , – , 01 , – , 60:40 , MATLAB R2009b , 98% , .

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    k-Nearest Neighbor (k-NN) applications in hyperspectral image analysis of food products.

    Journal: Current Research in Food Science

    Article Title: Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review

    doi: 10.1016/j.crfs.2021.01.002

    Figure Lengend Snippet: k-Nearest Neighbor (k-NN) applications in hyperspectral image analysis of food products.

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