Results 11 to 20 of about 1,503 (160)
Bayesian Tensor Decomposition for Clustering Latent Symptom Profiles for Verbal Autopsy Data. [PDF]
Stat MedABSTRACT 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.
Zhu Y, Li ZR.
europepmc +2 more sources
Modelling of the Systemic Inflammatory Host Response in Relation to the Microbiome of the Endodontic Infection. [PDF]
Int Endod JABSTRACT 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 ...
Georgiou AC +6 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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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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Smooth PARAFAC Decomposition for Tensor Completion [PDF]
IEEE Transactions on Signal Processing, 2016 13 pages, 9 ...
Tatsuya Yokota +2 more
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The PARAFAC-MUSIC Algorithm for DOA Estimation with Doppler Frequency in a MIMO Radar System
International Journal of Antennas and Propagation, 2014 The PARAFAC-MUSIC algorithm is proposed to estimate the direction-of-arrival (DOA) of the targets with Doppler frequency in a monostatic MIMO radar system in this paper.
Nan Wang +3 more
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