Results 21 to 30 of about 5,105 (201)
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
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Valorizing Landfill Gas Condensate as an External Carbon Source for Denitrification in Sewage-Landfill Leachate Co-Treatment. [PDF]
Water Environ ResThis study showed that landfill gas condensate can replace conventional liquid carbon sources for denitrification in SBRs, achieving similarly high nitrogen removal without leaving refractory organic residues, while also beneficially reusing a landfill byproduct to improve sustainability and reduce reliance on purchased carbon.
Ahmed MA, Brazil B, Zhang L, Zhao R.
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Decoding SSVEP responses based on PARAFAC decomposition
, 2012 In this position paper, we investigate whether a parallel factor analysis (Parafac) decomposition is beneficial to the decoding of steady-state visual evoked potentials (SSVEP) present in electroencephalogram (EEG) recordings taken from the subject's ...
van Vliet, Marijn +5 more
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An Integrative Approach Toward Bio-Inspired Sequestration of Rare Earth Elements. [PDF]
ChemSusChemThe binding behavior of EF‐hand 4 of calmodulin toward different lanthanide ions was studied using a combination of spectroscopic and computational methods. A resin‐immobilized peptide demonstrated its potential as a selective and sustainable filter material for lanthanide separation.Lanthanides (Ln) are essential for renewable energy technologies, yet
Perevedentseva Y +9 more
europepmc +2 more sources
Factor Uniqueness of the Structural Parafac Model [PDF]
Psychometrika, 2020 Factor analysis is a well-known method for describing the covariance structure among a set of manifest variables through a limited number of unobserved factors. When the observed variables are collected at various occasions on the same statistical units, the data have a three-way structure and standard factor analysis may fail.
Giordani P., Rocci R., Bove G.
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Parallelizable PARAFAC decomposition of 3-way tensors
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015 International audienceThis paper introduces a new PARAFAC algorithm for a classof third-order tensors. Particularly, the proposed algorithm isbased on subspace estimation and solving a non-symmetricaljoint diagonalization problem.
Linh-Trung, Nguyen +2 more
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Machines, 2023 Here, a novel hybrid method of intelligent fault identification within complex mechanical systems was proposed using parallel-factor (PARAFAC) theory and adaptive particle swarm optimization (APSO) for a support vector machine (SVM).
Shaoyi Li +4 more
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Smooth PARAFAC Decomposition for Tensor Completion [PDF]
IEEE Transactions on Signal Processing, 2016 13 pages, 9 ...
Tatsuya Yokota +3 more
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Décomposition PARAFAC pour données longitudinales
, 2023 International audienceWhen faced with tensor data, the PARAFAC decomposition allows an understanding of the structure of the data. When one (or more) of the tensor axes is a continuous quantity (such as time or a spatial quantity) with irregularly ...
Tenenhaus, Arthur +3 more
core +1 more source
Analysis of the source of DOM in underground reservoir of coal mine
矿业科学学报, 2020 For an in-depth understanding of the change process of dissolved organic matter(DOM) in water environment of coal mine underground reservoir, this study used the three dimensional fluorescence spectrum(EEMs), combined with PARAFAC model, to analyze ...
Han Jiaming +5 more
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