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nprtool front-end app  (MathWorks Inc)


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    MathWorks Inc nprtool front-end app
    Nprtool Front End App, 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/result/nprtool front-end app/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    nprtool front-end app - by Bioz Stars, 2026-04
    90/100 stars

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    Robotically probing soft magnet to classify location and amplitude of external loads. ( ai ) The stretchable soft magnet. ( aii ) The Hall effect sensor array PCB with dimensional units of mm. ( aiii ) Each individual Hall effect sensor taxel position was numbered and physical dimensions were labeled with units of mm. ( b ) The UR5 applied loads to the soft magnet that was placed atop the 3 × 3 Hall effect sensor array within the 3D-printed housing. These nine Hall effect sensor signals were recorded in Simulink and classified with four machine learning algorithms in <t>MATLAB.</t>
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    Robotically probing soft magnet to classify location and amplitude of external loads. ( ai ) The stretchable soft magnet. ( aii ) The Hall effect sensor array PCB with dimensional units of mm. ( aiii ) Each individual Hall effect sensor taxel position was numbered and physical dimensions were labeled with units of mm. ( b ) The UR5 applied loads to the soft magnet that was placed atop the 3 × 3 Hall effect sensor array within the 3D-printed housing. These nine Hall effect sensor signals were recorded in Simulink and classified with four machine learning algorithms in MATLAB.

    Journal: Sensors (Basel, Switzerland)

    Article Title: Robotic Replica of a Human Spine Uses Soft Magnetic Sensor Array to Forecast Intervertebral Loads and Posture after Surgery

    doi: 10.3390/s22010212

    Figure Lengend Snippet: Robotically probing soft magnet to classify location and amplitude of external loads. ( ai ) The stretchable soft magnet. ( aii ) The Hall effect sensor array PCB with dimensional units of mm. ( aiii ) Each individual Hall effect sensor taxel position was numbered and physical dimensions were labeled with units of mm. ( b ) The UR5 applied loads to the soft magnet that was placed atop the 3 × 3 Hall effect sensor array within the 3D-printed housing. These nine Hall effect sensor signals were recorded in Simulink and classified with four machine learning algorithms in MATLAB.

    Article Snippet: The neural network toolbox in MATLAB (nprtool) was used to generate a feedforward network to train and test the ANN [ ].

    Techniques: Labeling