FPCA-II Opening Comments [PDF]
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]
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]
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]
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
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]
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
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
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]
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
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

