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matlab gui  (MathWorks Inc)


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    MathWorks Inc matlab gui
    Matlab Gui, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 323 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/matlab+gui+toolbox/MATLAB+Compiler/us10060937-248-1-10
    Average 96 stars, based on 323 article reviews
    matlab gui - by Bioz Stars, 2026-09
    96/100 stars

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    Related Articles

    other:

    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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    Image Search Results


    ANFIS controller structure with two inputs .

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: ANFIS controller structure with two inputs .

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques:

    ANFIS controller's input and output.

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: ANFIS controller's input and output.

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques:

    IFOC speed control of induction motor using ANFIS control strategy.

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: IFOC speed control of induction motor using ANFIS control strategy.

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques: Control

    Proposed ANFIS controller's architecture.

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: Proposed ANFIS controller's architecture.

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques:

    ANFIS testing using checking data.

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: ANFIS testing using checking data.

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques:

    Details of the proposed ANFIS.

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: Details of the proposed ANFIS.

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques:

    FPI, IPI, and ANFIS controller responses without load torque.

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: FPI, IPI, and ANFIS controller responses without load torque.

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques:

    Performance comparisons of controllers without load torque.

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: Performance comparisons of controllers without load torque.

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques: Comparison

    Controllers response for rotor resistance variation (a) ANFIS, (b) FPI, (c) IPI.

    Journal: Heliyon

    Article Title: Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor

    doi: 10.1016/j.heliyon.2024.e37822

    Figure Lengend Snippet: Controllers response for rotor resistance variation (a) ANFIS, (b) FPI, (c) IPI.

    Article Snippet: Then the first step is to import the training and checking data pairs into the MATLAB toolbox's anfis GUI, the second stage is to determine the number and type of input and output membership functions as well as the amount of epoch numbers (initialization).

    Techniques: