Results 61 to 70 of about 1,503 (160)
Sensors, 2016 The main aim of this study was the application of excitation-emission fluorescence matrices (EEMs) combined with two decomposition methods: parallel factor analysis (PARAFAC) and nonnegative matrix factorization (NMF) to study the interaction mechanisms ...
Patrycja Boguta +2 more
doaj +1 more source
River, Volume 4, Issue 4, Page 535-546, November 2025.Abstract Dissolved organic matter (DOM) in rivers plays a key role in the global carbon cycle and aquatic ecosystems, yet its spatiotemporal dynamics across complex terrains remains inadequately characterized. To address this gap, we conducted seasonal sampling along the Luan River and examined how DOM composition varies over space and time in response
Kun Shi +5 more
wiley +1 more source
Global Biogeochemical Cycles, Volume 39, Issue 11, November 2025.Abstract Dissolved organic matter (DOM) is a key component of the lake biogeochemistry. Hydrology link variables influencing lake DOM at local and watershed scales, but its role at macroscales remains less understood. We studied the DOM concentration and composition from 548 lakes across the five major Canadian continental basins using absorption ...
Amir Reza Shahabinia +3 more
wiley +1 more source
Shipin yu jixieObjectiveTo develop a rapid and accurate method for the determination of carbendazim residues in vegetable oils.MethodsThree-dimensional fluorescence spectroscopy combined with chemometrics was used for the quantitative analysis of carbendazim residues ...
XIAO Jian, XIA Alin, HUANG Wei
doaj +1 more source
IEEE Access, 2019 A dual parallel factor (PARAFAC)-based approach to jointly estimating the two-dimensional direction of arrival (2-D DOA) and Doppler is proposed in this paper, where an L-shaped array consisting of acoustic vector-sensor is used.
Riheng Wu +3 more
doaj +1 more source
Three-Mode Factor Analysis by Means of Candecomp/Parafac
Psychometrika, 2014 A three-mode covariance matrix contains covariances of N observations (e.g., subject scores) on J variables for K different occasions or conditions. We model such an JK×JK covariance matrix as the sum of a (common) covariance matrix having Candecomp/Parafac form, and a diagonal matrix of unique variances.
Stegeman, Alwin, Lam, Tam T T
openaire +4 more sources
Journal of Analytical Methods in Chemistry, 2017 Retention mechanisms involved in supercritical fluid chromatography (SFC) are influenced by interdependent parameters (temperature, pressure, chemistry of the mobile phase, and nature of the stationary phase), a complexity which makes the selection of a ...
Ramia Z. Al Bakain +5 more
doaj +1 more source
A Novel PARAFAC Model for Processing the Nested Vector-Sensor Array
Sensors, 2018 In this paper, a novel parallel factor (PARAFAC) model for processing the nested vector-sensor array is proposed. It is first shown that a nested vector-sensor array can be divided into multiple nested scalar-sensor subarrays.
Wei Rao, Dan Li, Jian Qiu Zhang
doaj +1 more source
An Alternating Bayesian Approach to PARAFAC Decomposition of Tensors
IEEE Access, 2018 The PARAllel FACtor (PARAFAC) decomposition is known as one of the most commonly used tools in tensor signal/data processing. Unfortunately, its classical algorithms barely take the potential statistical and/or deterministic prior information of the ...
Ming Shi, Dan Li, Jian Qiu Zhang
doaj +1 more source
Rapid and Non-destructive Identification of Characteristic Components of Chrysanthemum by Three-Dimensional Excitation Emission Matrix Spectroscopy Coupled with Parallel Factor Analysis [PDF]
Shipin KexueA fast method for the identification of the characteristic components of Chrysanthemum was proposed using three-dimensional excitation emission matrix (3DEEM) spectroscopy coupled with parallel factor analysis (PARAFAC).
CHEN Siyu, PEI Ying, GU Haiyang
doaj +1 more source