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deep learning designer tool  (MathWorks Inc)


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    Structured Review

    MathWorks Inc deep learning designer tool
    Deep Learning Designer Tool, 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/deep-learning+tool/pm40457030-181-9-5
    Average 90 stars, based on 1 article reviews
    deep learning designer tool - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    other:

    Article Title: MobileTurkerNeXt: investigating the detection of Bankart and SLAP lesions using magnetic resonance images.
    Article Snippet: The landscape of computer vision is predominantly shaped by two groundbreaking methodologies: transformers and convolutional neural networks (CNNs).. In this study, we aim to introduce an innovative mobile CNN architecture designed for orthopedic imaging that efficiently identifies both Bankart and SLAP lesions.. Our approach involved the collection of two distinct magnetic resonance (MR) image datasets, with the primary goal of automating the detection of Bankart and SLAP lesions.

    Article Title: Automated Detection of Gastrointestinal Diseases Using Resnet50*-Based Explainable Deep Feature Engineering Model with Endoscopy Images.
    Article Snippet: To develop ResNet50*, the deep network designer tool available in MATLAB was used.

    Article Title: DC-DC Boost Converter Design with Analog Feedback Control for Cryogenic Applications
    Article Snippet: The simulations were performed by modeling the DC-DC boost converter using MATLAB/Simulink and employing the MATLAB Control System Designer tool for transfer function evaluation.

    Control:

    Article Title: High precision experimentally validated adaptive neuro fuzzy inference system controller for DC motor drive system
    Article Snippet: .. It is obvious from the above Table that the ANFIS based control scheme outperforms PI control schemes by achieving the most optimal dynamic response with 0% overshoot and settling time of 0.18 s. The initial values for the K p and K i of the PI controllers are designed based on the simulation model using the Control System Designer tool in MATLAB. ..

    Article Title: High precision experimentally validated adaptive neuro fuzzy inference system controller for DC motor drive system
    Article Snippet: .. Despite the tuning of the PI controllers is performed with the help of Control System Designer tool in MATLAB. ..

    Article Title: High precision experimentally validated adaptive neuro fuzzy inference system controller for DC motor drive system
    Article Snippet: .. It is crucial to note that in this work, the PI controllers are effectively tuned by using the Control System Designer tool in MATLAB. ..

    Software:

    Article Title: A Fuzzy Inference System for Predicting Air Traffic Demand based on Socioeconomic Drivers
    Article Snippet: .. The objectives of this study were achieved by applying the app designer tool of MATLAB to develop graphical user inference software. ..



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