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statistics and machine learning tool  (MathWorks Inc)


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    MathWorks Inc statistics and machine learning tool
    Statistics And Machine Learning 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/statistics+machine+learning+tool/pm37737263-290-8-12
    Average 90 stars, based on 1 article reviews
    statistics and machine learning tool - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: NAL protocol implementation and reduction of systematic errors in patient setup during radiation therapy
    Article Snippet: Introduction: During volumetric arc therapy (VMAT) therapy, the dose delivered involves significant area and organs with low dose.. In order to study the Radiation Therapy (RT) cancer induction probability, the risk for contralateral breast and lung secondary tumor was evaluated, estimating the organ equivalent dose (OED).. Materials and Methods: The dose distribution of 30 breast cancer patients treated with VMAT techniques were analyzed in this retrospective study.

    Article Title: Comprehensive Evaluation of the Dynamic Performance of a 6/10 SRM for Traction Application in PHEVs
    Article Snippet: Switched reluctance machine (SRM) has been viewed as a low-cost machine with concentrated windings on the stator and no magnetic source on the rotor.. Owing to the higher torque-production capability with lower ripple, an SRM with a higher number of rotor poles is a potential candidate for traction applications in hybrid and plug-in hybrid electric vehicles.. However, since external phase commutation and rotor-position detection are necessary to run the SRM, its control can be challenging.

    Article Title: Estimation of surface roughness for transparent superhydrophobic coating through image processing and machine learning
    Article Snippet: In the current era, superhydrophobic surfaces/coatings have gained significant attention worldwide due to their exclusive features such as self-cleaning, anti-corrosion, anti-adhesion, anti-reflection, and anti-icing, etc.. The idea of the self-cleaning mechanism of superhydrophobic coatings has emerged from the self-cleaning effect of lotus plant leaves.. The superhydrophobic surfaces have a great ability to eliminate dust, bacteria, and viruses due to the very large contact angle (> 150 ) between the surface and the water droplets.

    Article Title: Multi-objective optimization of energo-enviro-economic indicators of an outdoor swimming pool heating system: an approach with advanced computational techniques
    Article Snippet: Flat-plate solar collectors are a promising technology that is widely considered for outdoor swimming pool heating applications, and their potential has been enhanced through integration with advanced computational techniques.. Therefore, this study aims to develop a comprehensive model for outdoor swimming pools by employing sophisticated computational methods to estimate various energetic, environmental, and economic indicators.. A surrogate model based on artificial neural networks was trained, and subsequently, a sensitivity analysis with a multi-objective optimization process using a genetic algorithm was implemented for the best decision-making.

    Article Title: Computer‐aided analysis and design procedure for rotating induction machine magnetic circuits and windings
    Article Snippet: [2] Bilgin, B., Krishnamurthy, M.: ‘An FEA/MATLAB based machine design tool for switched reluctance motors’.

    Article Title: The Use of Artificial Neural Network for Predicting the Thermal Conductivity of Cement Based Mortar with Natural Zeolites
    Article Snippet: Series: Materials Science and Engineering 1304 (2024) 012023 IOP Publishing doi:10.1088/1757-899X/1304/1/012023 Using the Matlab and the Machine Learning Tool, the experimental data were used for creating a neural network (NN) feed-forward architecture.

    Article Title: Preexisting immunity restricts mucosal antibody recognition of SARS-CoV-2 and Fc profiles during breakthrough infections.
    Article Snippet: All analysis was conducted using the Statistics and Machine Learning Tool on MATLAB, data were extracted, and figures were graphed using GraphPad Prism.

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    Article Title: T2 relaxometry and diffusion tensor indices of the hippocampus and entorhinal cortex improve sensitivity and specificity of MRI to detect amnestic mild cognitive impairment and Alzheimer’s disease dementia
    Article Snippet: .. Statistics The capability of sets of variables to classify cognitive groups was assessed by training support vector machine (SVM) classifiers (with 2 nd order polynomial kernel), predicting posterior probabilities and computing receiver operating characteristics (ROC) with statistics and machine learning tool in Matlab. ..



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