Results 1 to 10 of about 3,345,035 (259)
Functional near-infrared spectroscopy (fNIRS) research articles show a large heterogeneity in the analysis approaches and pre-processing procedures. Additionally, there is often a lack of a complete description of the methods applied, necessary for study
Paola Pinti +5 more
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A novel machine learning-assisted approach for formula optimization, termed UD-SVR, is introduced by combining uniform design with support vector regression.
Yu-han Li +13 more
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Functional Data Analysis in Sport Science: Example of Swimmers’ Progression Curves Clustering
Many data collected in sport science come from time dependent phenomenon. This article focuses on Functional Data Analysis (FDA), which study longitudinal data by modelling them as continuous functions.
Arthur Leroy +4 more
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Editorial: Advances in thrombin generation
Romy de Laat-Kremers +3 more
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It is shown how summary statistics of functional data and functional principal components analysis (FPCA) can be used to evaluate the stationarity assumption considered in modeling of regionalized variables.
Giraldo Ramón
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Classification of Alzheimer’s Patients through Ubiquitous Computing
Functional data analysis and artificial neural networks are the building blocks of the proposed methodology that distinguishes the movement patterns among c’s patients on different stages of the disease and classifies new patients to their appropriate ...
Alicia Nieto-Reyes +3 more
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This work aims to classify the DNA sequences of healthy and malignant cancer respectively. For this, supervised and unsupervised classification methods from a functional context are used; i.e. each strand of DNA is an observation.
Miguel Flores +2 more
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Functional Data Analysis in brain imaging studies
Functional data analysis (FDA) considers the continuity of the curves or functions, and is a topic of increasing interest in the statistics community. FDA is commonly applied to time-series and spatial-series studies.
T. Siva Tian
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Application of Functional Data Analysis for the Prediction of Maximum Heart Rate
Maximum heart rate (MHR) is widely used in the prescription and monitoring of exercise intensity, and also as a criterion for the termination of sub-maximal aerobic fitness tests in clinical populations.
Marcos Matabuena +4 more
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Functional data analysis for computational biology
Abstract Supplementary information: Supplementary data are available at Bioinformatics online.
Marzia A. Cremona +5 more
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