Overview of Constrained PARAFAC Models [PDF]
EURASIP Journal on Advances in Signal Processing, 2014 In this paper, we present an overview of constrained PARAFAC models where the constraints model linear dependencies among columns of the factor matrices of the tensor decomposition, or alternatively, the pattern of interactions between different modes of
de Almeida, André L. F. +1 more
core +6 more sources
Blind PARAFAC Signal Detection for Polarization Sensitive Array [PDF]
EURASIP Journal on Advances in Signal Processing, 2007 This paper links the polarization-sensitive-array signal detection problem to the parallel factor (PARAFAC) model, which is an analysis tool rooted in psychometrics and chemometrics.
Dazhuan Xu, Xiaofei Zhang
doaj +3 more sources
Bayesian Tensor Decomposition for Clustering Latent Symptom Profiles for Verbal Autopsy Data [PDF]
Statistics in Medicine, Volume 45, Issue 6-7, March 2026.ABSTRACT Cause‐of‐death data is fundamental for understanding population health trends and inequalities as well as designing and evaluating public health interventions. A significant proportion of global deaths, particularly in low‐ and middle‐income countries (LMICs), do not have medically certified causes assigned.
Yu Zhu, Zehang Richard Li
wiley +2 more sources
Application of Parallel Factor Analysis (PARAFAC) to Electrophysiological Data [PDF]
Frontiers in Neuroinformatics, 2015 The identification of important features in multi-electrode recordings requires the decomposition of data in order to disclose relevant features and to offer a clear graphical representation. This can be a demanding task.
Sarah Katharina eSchmitz +9 more
doaj +3 more sources
Modelling of the Systemic Inflammatory Host Response in Relation to the Microbiome of the Endodontic Infection [PDF]
International Endodontic Journal, Volume 58, Issue 12, Page 1926-1939, December 2025.ABSTRACT Aim This study aimed to investigate systemic inflammatory responses in individuals with apical periodontitis (AP) compared to age‐matched healthy controls, using advanced multiway modelling techniques. We examined associations between inflammatory mediators, age, gender, symptomatic status, and the microbial composition and function to better ...
A. C. Georgiou +6 more
wiley +2 more sources
parafac4microbiome: exploratory analysis of longitudinal microbiome data using parallel factor analysis [PDF]
mSystemsStudies investigating microbial temporal dynamics are increasingly common, leveraging longitudinal designs that collect microbial abundance data across multiple time points from the same subjects.
G. R. van der Ploeg +3 more
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Tracking seasonal changes of natural organic matter in a water treatment plant in Bangkok using EEM-PARAFAC approach [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2021 This study aims to evaluate spatial and seasonal changes in natural organic matter (NOM) in Bangkhen Water Treatment Plant, Thailand. Water samples were analyzed for UV absorbance at 254 nm (UV254), dissolved organic carbon (DOC), and fluorescence ...
Kitiyot Tungsudjawong +2 more
doaj +1 more source
Application of PARAFAC Technique to Compare Fluorescence Property of Different Dissolved Organic Matters [PDF]
대한환경공학회지, 2023 Objectives It provides a detailed procedure for analyzing dissolved organic matter (DOM) by the PARAFAC technique and aims to identify compare different fluorescent components of DOM with various water sources.
Dokyeong Lim, Mi-Jin Choi, Jongkwan Park
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Molecules, 2022 Plenty of humic acid components compositions are contained in dissolved organic matter (DOM) derived from composting. Fluorescence signals were employed to characterize the changes in DOM components in the component process.
Hongyang Cui +4 more
doaj +1 more source
Multi-Sensor Fusion by CWT-PARAFAC-IPSO-SVM for Intelligent Mechanical Fault Diagnosis
Sensors, 2022 A new method of multi-sensor signal analysis for fault diagnosis of centrifugal pump based on parallel factor analysis (PARAFAC) and support vector machine (SVM) is proposed. The single-channel vibration signal is analyzed by Continuous Wavelet Transform
Hanxin Chen, Shaoyi Li
doaj +1 more source