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matlab-based deep learning algorithm  (MathWorks Inc)


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    MathWorks Inc matlab-based deep learning algorithm
    Matlab Based Deep Learning Algorithm, 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+algorithm/pm40639691-177-8-9
    Average 90 stars, based on 1 article reviews
    matlab-based deep learning algorithm - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Novel approach for AI-based N 2 O emission reduction in biological wastewater treatment relying on genetic algorithms and neural networks.
    Article Snippet: For implementing the genetic algorithm and for setting up the neural networks, MATLAB R2023a (especially Optimization Toolbox, Global Optimization Toolbox, Deep Learning Toolbox, and Statistics and Machine Learning Toolbox) was employed.

    Article Title: Designable Data Augmentation-based Domain-adaptive Design of Electric Vehicle Considering Dynamic Responses
    Article Snippet: The DADDA algorithm was coded with reference to the deep learning toolbox of MATLAB, version R2022a.

    Article Title: Glucosylsphingosine is a potential fluid-based biomarker of lysosomal dysfunction in Cln3 Δex7/8 mice.
    Article Snippet: The algorithm was developed using the Deep Learning Toolbox in MATLAB (MathWorks, Natick, MA, USA).

    Article Title: Short-term forecasting of Indonesia electricity generation using MATLAB based on NARX neural network
    Article Snippet: As mentioned priorly, this study uses NARX-NN algorithm in which is done using MATLAB 2024 (b) toolbox called Deep Learning Toolbox that provides several features, one such as Neural Time Series.

    Article Title: Detection of ADHD from EEG signals using new hybrid decomposition and deep learning techniques.
    Article Snippet: Data processing and deep learning algorithm design was carried out using MATLAB version R2021b.

    Article Title: Biomimic and bioinspired soft neuromorphic tactile sensory system
    Article Snippet: The collected data were trained and tested by deep learning algorithm (Neural Network Pattern Recognition Toolbox from MATLAB version 2017b).

    Software:

    Article Title: A topological approach to understanding crack initiation and propagation in carbon fiber reinforced polymer composites under an opening load
    Article Snippet: .. As described in Ref. , cracks in the 3D volume images were segmented using the “watershed segmentation” feature of the “Morphological segmentation” plugin of Fiji software , while carbon fibers were segmented using the SegNet deep learning algorithm in MATLAB. ..



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