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matlab svmtrain function  (MathWorks Inc)


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    MathWorks Inc matlab svmtrain function
    Matlab Svmtrain Function, 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/matlab+svmtrain+function/pm40113730-99-5-5
    Average 90 stars, based on 1 article reviews
    matlab svmtrain function - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: PSO optimized 1-D CNN-SVM architecture for real-time detection and classification applications.
    Article Snippet: In this paper, we propose a novel Particle Swarm Optimized (PSO) One-Dimensional Convolutional Neural Network with Support Vector Machine (1-D CNN-SVM) architecture for real-time detection and classification of diseases.. The performance of the proposed architecture is validated with a novel hardware model for detecting Chronic Kidney Disease (CKD) from saliva samples.. For detecting CKD, the urea concentration in the saliva sample is monitored by converting it into ammonia.

    Article Title: Expert system classifier for adaptive radiation therapy in prostate cancer.
    Article Snippet: volumetric changes of 30 and 40% for rectum and bladder were detected which possibly represents values justifying adjustment of patient preparation, frequent re-planning or a plan-of-the-day strategy.. Based on our research, by combining daily IGRT images with rigid/deformable registration and dose warping, it is possible to apply a machine learning approach to the clinical setting obtaining useful information for a decision regarding an individualized adaptive strategy.. Especially for treatments influenced by the movement of hollow organs, this could reduce inadequate treatments and possibly reduce toxicity, thereby increasing overall RT efficacy.

    Article Title: Deep Learning Neural Network Based on PSO for Leukemia Cell Disease Diagnosis from Microscope Images.
    Article Snippet: Training was conducted using the MATLAB svmtrain function, and classificationwas performed using svmclassify.

    Article Title: Development of driving condition classification based adaptive optimal control strategy for PHEV
    Article Snippet: In this study, driving condition classification and recognition based adaptive optimal control strategy is developed for new type four wheel drive plug-in hybrid electric vehicle (PHEV).. First, power characteristics of the proposed PHEV are analysed.. The basic rule based and adaptive optimal control strategies are developed.

    Article Title: Automatic polyp frame screening using patch based combined feature and dictionary learning.
    Article Snippet: In this study, we use a linear SVM trained with a MATLAB SVMtrain algorithm [40] and set the default regularization parameter as C = 1.

    Article Title: Embedded Low-Power Processor for Personalized Stress Detection
    Article Snippet: The support vectors (SV), bias (b) and other required coefficients were calculated offline using the SVMtrain MATLAB function.

    Plasmid Preparation:

    Article Title: Prediction of stroke thrombolysis outcome using CT brain machine learning
    Article Snippet: .. This was achieved by varying the soft margin parameter for each datapoint, inputted as a vector of NIHSS values into the ‘boxconstraint’ argument within the MATLAB svmtrain function. ..



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