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decoding layers  (MathWorks Inc)


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    MathWorks Inc decoding layers
    Decoding Layers, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 929 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/decoding+layers/Deep+Learning+Toolbox/pmc08068577-29-10-19
    Average 96 stars, based on 929 article reviews
    decoding layers - by Bioz Stars, 2026-10
    96/100 stars

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    Article Title: Kinetic Oxidation Analysis in AISI 1045 Steel Using Infrared Thermography and Convolutional Neural Networks.
    Article Snippet: The SegNet model was implemented using the standard MATLAB Deep Learning Toolbox, and the architectural and training details reported in Section 2.4 facilitate reproducibility.

    Article Title: RNAGAN: Train One and Get Four, Multipurpose Human RNA-Seq Analysis Tool with Enhanced Interpretability and Small Data Size Capability
    Article Snippet: We used MATLAB 2024b Deep Learning Toolbox to establish the model and implement some customized layers (such as data-split layer for splitting the sample to diagnose and the reference data, which can also be achieved with an equivalent standard convolution layer).

    Article Title: Kinetic Oxidation Analysis in AISI 1045 Steel Using Infrared Thermography and Convolutional Neural Networks.
    Article Snippet: To implement the network, we utilised the MATLAB V2024b Deep Learning Toolbox (MathWorks, Natick, MA, USA) [21] for its flexibility in designing and training convolutional neural networks.

    Article Title: A comprehensive review of EMG/EEG based wheelchair control systems for individuals with disabilities: HMI and BCI perspectives.
    Article Snippet: Human-machine interface (HMI) and brain-computer interface (BCI) are proving to help make technologies better and helpful for people with disabilities.. These systems give individuals the ability to easily control wheelchair, and enhance their quality of life.. This review focuses on the use of EMG (muscle activity) and EEG (brain activity) signals, considered primarily as individual modalities, for wheelchair control.

    Article Title: Deep Learning-based Differentiation of Drug-induced Liver Injury and Autoimmune Hepatitis: A Pathological and Computational Approach
    Article Snippet: Training was conducted until the loss converged to a low and stable value using MATLAB’s Deep Learning Toolbox with GPU: NVIDIA GeForce RTX 3060 Ti and CPU: 13th Gen Intel Core i7-13700KF.

    Article Title: Data-driven machine learning modelling in wire EDM of TiNiCo shape memory alloy.
    Article Snippet: MATLAB’s Neural Network Toolbox (now integrated as Deep Learning Toolbox) was utilized for model construction and optimization[24].

    Article Title: Advancing bioprocess monitoring: data fusion and ANN-based prediction of arginine concentration in monoclonal antibody-producing CHO cell cultures.
    Article Snippet: The ANN models were developed and configured using the functions of MATLAB’s Deep Learning Toolbox.

    Software:

    Article Title: Advancing bioprocess monitoring: data fusion and ANN-based prediction of arginine concentration in monoclonal antibody-producing CHO cell cultures.
    Article Snippet: .. Multivariate calibration models were optimised and built in MATLAB® (MATLAB R2020a, The MathWorks, Inc.), PLS_Toolbox® 9.2 (Eigenvector Research, Inc.) chemometrics software and Deep Learning Toolbox 14.0 (The MathWorks, Inc.) was also used. ..



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