Results 1 to 10 of about 1,173 (164)

FPCA-II Opening Comments [PDF]

open access: yesThirty Years of Astronomical Discovery With UKIRT, 2011
This introductory talk reflects on history, sets up pieces of context, and puts forward a few issues to be hopefully addressed during the meeting.
Heck André, André Heck
exaly   +2 more sources

Lower-limb surface electromyographic differences in roundhouse kicks between elite and sub-elite taekwondo athletes: a functional principal component analysis [PDF]

open access: yesFrontiers in Physiology
PurposeThis study aimed to investigate the functional characteristics and distinctions in lower-limb electromyography (EMG) time-series data during roundhouse kicks performed by elite (n = 10) and sub-elite (n = 10) Taekwondo athletes, using Functional ...
Jianbo Sun   +4 more
doaj   +2 more sources

Lower-limb muscle activation patterns during the taekwondo roundhouse kick in elite and youth athletes: a functional principal component analysis [PDF]

open access: yesFrontiers in Bioengineering and Biotechnology
ObjectiveThe taekwondo roundhouse kick is a fundamental and performance-critical technique that requires precise lower-limb muscle coordination. However, previous studies have mainly focused on discrete electromyographic variables, providing limited ...
Jianbo Sun   +5 more
doaj   +2 more sources

Predicting progressive vision loss in glaucoma patients using functional principal component analysis and electronic health records [PDF]

open access: yesFrontiers in Ophthalmology
BackgroundGlaucoma is a leading cause of irreversible blindness worldwide. Predicting a patient’s future clinical trajectory would help physicians personalize management. We present a novel approach for predicting patient visual field (VF) progression by
Rithvik Krishna Donnipadu   +4 more
doaj   +2 more sources

Demonstrating How FPCA Can Leverage SAR Time-Series Information to Distinguish Wetlands and Uplands Based on Seasonal Backscatter Trends

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Wetlands are important but vulnerable ecosystems that must be accurately mapped and monitored to effectively guide restoration and conservation planning. In this study, we used functional principal component analysis (FPCA) to leverage synthetic aperture
Kenneth Chu   +2 more
exaly   +3 more sources

ANALIZA WSKAŹNIKA ZATRUDNIENIA W KRAJACH NOWEJ UE Z WYKORZYSTANIEM FPCA [PDF]

open access: yesQuantitative Methods in Economics, 2018
In the paper new countries of UE are compared with respect to employment rate in 2004-2016. Functional principal components analysis was applied.
Jolanta Wojnar, Wojciech Zieliński
doaj   +3 more sources

The Fast Prefix Coding Algorithm (FPCA) for 3D Pavement Surface Data Compression

open access: yesComputer-Aided Civil and Infrastructure Engineering, 2017
The enormous data inflow during three-dimensional 3D pavement surface data collection requires an efficient compression system for 3D data. However, with respect to the phase of lossless encoding, the commonly used Huffman Coding is inefficient in terms of speed and memory usage for encoding 3D pavement surfaces.
Allen Zhang
exaly   +2 more sources

An FPCA-enhanced Ensemble Learning Framework for Photometric Identification of Type Ia Supernovae

open access: yesThe Astrophysical Journal
Type Ia supernovae (SNe Ia) are key tools for addressing major cosmological questions like the Hubble tension and dark energy. Modern surveys are predominantly photometry based, making photometric classification of SNe Ia essential for precision ...
Moonzarin Reza, Lifan Wang, Lei Hu
doaj   +3 more sources

Effect of family-centred perioperative care for anaesthesia on the incidence of emergence delirium in children after surgery: a protocol for a randomised controlled trial in China [PDF]

open access: yesBMJ Open
Introduction Emergence delirium (ED) stands out as a prevalent postoperative complication among paediatric patients, correlating with extended hospitalisation periods, escalated healthcare expenses and increased incidence of postoperative maladaptive ...
Ting Li   +6 more
doaj   +2 more sources

Outlier Curve Detection in Functional Data Using Robust FPCA

open access: yesMathematics
We propose a robust method for outlier detection in functional data analysis. This approach uses the robust Minimum Covariance Determinant estimator to compute the Mahalanobis distance applied to functional principal component scores.
Wilson Pérez-Rocano   +2 more
doaj   +3 more sources

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