Results 31 to 40 of about 705 (114)

A Comprehensive Review of Traditional and Machine Learning‐Assisted Diffuse Optical Spectroscopy and Imaging Techniques for Dermatological Applications

Advanced Photonics Research, Volume 7, Issue 5, May 2026.
This review critically examines clinical studies on both conventional and machine learning (ML)‐integrated diffuse optical spectroscopy and imaging methods for dermatological applications, with a primary focus on the past decade and inclusion of earlier foundational work where appropriate.
Iftak Hussain, Li Xiuting, Randall Ang Jie, Keertana Vinod Ram, Mark Teo Ju Teng, Valerie Xinhui Teo, Malini Olivo, U. S. Dinish   +7 more
wiley   +1 more source

Predicting fatigue using countermovement jump force-time signatures: PCA can distinguish neuromuscular versus metabolic fatigue.

PLoS ONE, 2019
PurposeThis study investigated the relationship between the ground reaction force-time profile of a countermovement jump (CMJ) and fatigue, specifically focusing on predicting the onset of neuromuscular versus metabolic fatigue using the CMJ.MethodTen ...
Paul Pao-Yen Wu, Nicholas Sterkenburg, Kirsten Everett, Dale W Chapman, Nicole White, Kerrie Mengersen   +5 more
doaj   +1 more source

Health Prognostics in Multi‐Sensor Systems Based on Multivariate Functional Data Analysis

Applied Stochastic Models in Business and Industry, Volume 42, Issue 3, May/June 2026.
ABSTRACT Recent developments in big data analysis, machine learning, Industry 4.0, and IoT applications have enabled the monitoring and processing of multi‐sensor data collected from systems, allowing for the prediction of the “Remaining Useful Life” (RUL) of system components.
Cevahir Yildirim, Alba M. Franco‐Pereira, Rosa E. Lillo   +2 more
wiley   +1 more source

Functional Principal Components Analysis on the Example of the Achievements of Students in the Years 2009-2017

Ekonometria, 2019
The functional principal components analysis joins the advantages of the principal components analysis and provide analysis of dynamic data. The main difference in both methods is the type of data the PCA is based on multivariate data, whereas the FPCA ...
Mirosława Sztemberg-Lewandowska
doaj  

A Hybrid Nonparametric Framework for Outlier Detection in Functional Time Series

Environmetrics, Volume 37, Issue 4, May 2026.
ABSTRACT Outlier detection in functional time series is challenging due to temporal dependence and the simultaneous presence of magnitude, shape, and partial anomalies. Existing methods often assume independence or rely on model based approaches, such as the Standard Smoothed Bootstrap on Residuals (SmBoR), which may not work well if the model is ...
David Solano, Ruben Dario Guevara, Sergio A. Calderón V., Marc Saez, Maria A. Barceló   +4 more
wiley   +1 more source

A New Approach to Statistical Inference for Functional Time Series

Journal of Time Series Analysis, Volume 47, Issue 3, Page 675-686, May 2026.
ABSTRACT The analysis of time‐indexed functional data plays an important role in the field of business and economic statistics. In the literature, statistical inference for functional time series often involves reducing the dimension of functional data to a finite dimension K$$ K $$, followed by the use of tools from multivariate analysis.
Hanjia Gao, Yi Zhang, Xiaofeng Shao
wiley   +1 more source

Beaks of the Permo‐Triassic: a morpho‐functional analysis at the dawn of a novel structure in tetrapod evolution

Palaeontology, Volume 69, Issue 3, 2026.
Abstract The Triassic was a unique time for beak evolution, as seen in a wide diversity of terrestrial tetrapods. Beaks were present in dicynodont synapsid survivors of the Permo‐Triassic mass extinction event (PTME) and evolved independently several times in archosauromorphs and their relatives.
Damiano Landi, James L. King, Suresh A. Singh, Emily J. Rayfield, Michael J. Benton   +4 more
wiley   +1 more source

Oil and the stock market revisited: A mixed functional VAR approach

Quantitative Economics, Volume 17, Issue 2, Page 541-589, May 2026.
This paper proposes a new mixed vector autoregression (MVAR) model to examine the relationship between aggregate time series and functional variables in a multivariate setting. The model facilitates a reexamination of the oil‐stock price nexus by estimating the effects of demand and supply shocks from the global market for crude oil on the entire ...
Hilde C. Bjørnland, Yoosoon Chang, Jamie L. Cross   +2 more
wiley   +1 more source

Wastewater-Based Epidemiology of Stimulant Drugs: Functional Data Analysis Compared to Traditional Statistical Methods.

PLoS ONE, 2015
BackgroundWastewater-based epidemiology (WBE) is a new methodology for estimating the drug load in a population. Simple summary statistics and specification tests have typically been used to analyze WBE data, comparing differences between weekday and ...
Stefania Salvatore, Jørgen Gustav Bramness, Malcolm J Reid, Kevin Victor Thomas, Christopher Harman, Jo Røislien   +5 more
doaj   +1 more source

Patterns of weight gain during the first half of pregnancy and risk of large newborns in women with insulin‐dependent diabetes mellitus

Pregnancy, Volume 2, Issue 2, March 2026.
Abstract Objective To identify patterns of gestational weight gain (pGWG) trajectories in the first 20 weeks of gestation and to determine the association of these patterns with the delivery of large‐for‐gestational‐age (LGA) infants among women with insulin‐dependent diabetes mellitus (IDDM).
Ketrell L. McWhorter, Katherine Bowers, Enas Ghulam, Rhonda D. Szczesniak, Shelley Ehrlich, Lawrence M. Dolan, Ranjan Deka, Menachem Miodovnik, Jane C. Khoury   +8 more
wiley   +1 more source