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pattern recognition and machine learning toolbox v1.0.0.0  (MathWorks Inc)


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    MathWorks Inc pattern recognition and machine learning toolbox v1.0.0.0
    Pattern Recognition And Machine Learning Toolbox V1.0.0.0, 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/pattern+recognition+machine+learning/pm40480534-90-5-13
    Average 90 stars, based on 1 article reviews
    pattern recognition and machine learning toolbox v1.0.0.0 - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: A Smart Monitoring System for Comatose Patients
    Article Snippet: In coma, the state of unconsciousness, the patient needs constant monitoring of several parameters because it is a critical condition.. The vital parameters of these patients must be monitored continuously, so to keep track of their condition.. It might be impossible to manually handle the monitoring of numerous coma patients.

    Article Title: Comparing single-shot EPI and 2D-navigated, multi-shot EPI diffusion tensor imaging acquisitions in the lumbar spinal cord at 3T.
    Article Snippet: This was performed using the Pattern Recognition and Machine Learning Toolbox v1.0.0.0 in MATLAB R2024a.

    Article Title: Detection of atypical attentional behaviors in young subjects.
    Article Snippet: Background: Vigilance ability refers to the accuracy and speed with which a person performs a cognitive-motor task, either voluntarily (endogenous mode) or following a warning stimulus (exogenous mode).. In the context of a force production task, our study focuses on the impact of the states of vigilance by proposing an original approach that allows distinguishing between good (inlier) and poor (outlier) participants.. We assume that the use of an external signal and duration of the temporal preparation (foreperiod) increase the speed and the precision of motor responses.

    Article Title: Accuracy of 20 Intraocular Lens Power Calculation Formulas in Medium-Long Eyes.
    Article Snippet: It employs pattern recognition developed by MATLAB and a sophisticated form of data interpolation.

    Article Title: Advancements in polymer nanofiber-based piezoelectric nanogenerators: Revolutionizing self-powered wearable electronics and biomedical applications
    Article Snippet: In light of the increasing presence of the Internet of Things (IoT) in all aspects of modern society, particularly in personal healthcare monitoring, there has been a proliferation of sensors and electronic devices that require a significant amount of power to operate continuously.. As a result, there has been a growing interest in organic polymer composite nanofibers based piezoelectric nanogenerators and sensors as a response to environmental concerns and the limited lifespan of batteries.. However, the main challenge lies in delivering power to the load electronics from the nanogenerator due to impedance mismatch.

    Article Title: Identification and cognitive function prediction of Alzheimer's disease based on multivariate pattern analysis of hippocampal volumes.
    Article Snippet: Background: Alzheimer’s disease (AD) is strongly associated with slowly progressive hippocampal atrophy.. Elucidating the relationships between local morphometric changes and disease status for early diagnosis could be aided by machine learning algorithms trained on neuroimaging datasets.. Objective: This study intended to propose machine learning models for the accurate identification and cognitive function prediction across the AD severity spectrum based on structural magnetic resonance imaging (sMRI) of the bilateral hippocampi.

    Article Title: Collagen and elastic fibers assessment of the human heart valves for age estimation in Thais using image analysis.
    Article Snippet: The study investigated the relationship between the histological compositions of the tricuspid, pulmonary, mitral, and aortic valves, and age.. All 85 fresh human hearts were obtained with an age range between 20 and 90 years.. The central area of the valves was conducted to analyze the density of collagen and elastic fibers by using an image analysis program.

    Software:

    Article Title: Honey Adulteration Detection via Ultraviolet–Visible Spectral Investigation Coupled with Chemometric Analysis
    Article Snippet: .. Further attempts for adulteration quantification were based on a neural network model of pattern recognition type built in the frame of Matlab 2023b software, using a Levenberg–Marquart algorithm for attaining convergence. ..



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