Results 11 to 20 of about 9,700 (199)
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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Frontiers in Marine Science, 2022 Dissolved organic matter (DOM) in the land–ocean interface plays a critical role in the global carbon cycle, yet its dynamic is not well understood. Dissolved organic carbon (DOC) in the northern Beibu Gulf was measured seasonally from April 2020 to ...
Zuhao Zhu +15 more
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Environment and Natural Resources Journal, 2021 Cikapundung River is the main raw water source for 2-millions inhabitants of Bandung city but has been severely deteriorated due to organic pollution such as cattle manure, domestic, and agriculture wastes. Dissolved Organic Matter (DOM) in raw water can
Mohammad Rangga Sururi +3 more
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Characterizing dissolved organic matter in Taihu Lake with PARAFAC and SOM method
Water Science and Technology, 2022 The three-dimensional fluorescence spectrum has a significantly greater amount of information than the single-stage scanning fluorescence spectrum. At the same time, the parallel factor (PARAFAC) analysis and neural network method can help explore the ...
W. Zhang, T. Li, B. Dong
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Current Research in Food Science, 2021 Fluorescence spectroscopy coupled with chemometric tools is a powerful analytical method, largely used for rapid food quality and safety evaluations. However, its potential has not yet been explored in the novel food sector.
G. Rossi +3 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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Robust PARAFAC for incomplete data [PDF]
Journal of Chemometrics, 2012 Different methods exist to explore multiway data. In this article, we focus on the widely used PARAFAC (parallel factor analysis) model, which expresses multiway data in a more compact way without ignoring the underlying complex structure. An alternating least squares procedure is typically used to fit the PARAFAC model. It is, however, well known that
Hubert, Mia +2 more
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Nonnegative approximations of nonnegative tensors [PDF]
, 2009 We study the decomposition of a nonnegative tensor into a minimal sum of outer product of nonnegative vectors and the associated parsimonious naive Bayes probabilistic model.
Comon, Pierre, Lim, Lek-Heng
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Dissolved Organic Matter in the Gulf of Cadiz: Distribution and Drivers of Chromophoric and Fluorescent Properties [PDF]
, 2020 The Gulf of Cadiz (GoC) connects the Mediterranean Sea with the Atlantic Ocean through the Strait of Gibraltar. Particular hydrographic processes take place in the GoC, such as riverine discharges and surface circulation marked by wind-induced seasonal ...
Amaral, Valentina +2 more
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Parallel Factorization to Implement Group Analysis in Brain Networks Estimation
Sensors, 2023 When dealing with complex functional brain networks, group analysis still represents an open issue. In this paper, we investigated the potential of an innovative approach based on PARAllel FActorization (PARAFAC) for the extraction of the grand average ...
Andrea Ranieri +5 more
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