Results 91 to 100 of about 9,700 (199)
An Alternating Bayesian Approach to PARAFAC Decomposition of Tensors
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]
A 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
Invasive fungal infections pose a significant threat to human health, emphasizing the urgent need for new and effective antifungal agents. 3,5-Disubstituted-tetrahydro-2H-1,3,5-thiadiazine-2-thione derivatives have shown promising antifungal activity ...
Gürkan Özen +2 more
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Background: Native fluorescence spectroscopy is a noninvasive real-time tool to probe the molecular alteration in tissues in pathological conditions by utilizing fluorescence properties of intrinsic fluorophores.
Pravda Chidambaranathan +5 more
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According to the performance degradation problem of parameter estimation algorithm in the Alpha stable dis-tribution noise, inspired by the concept of correntropy, a new class of statistics, namely, the fractional lower-order cor-rentropy-analogous ...
Li LI, Tian-shuang QIU, Ming-yan HE
doaj +2 more sources
In the last 20 years, several articles related to the use of fluorescence excitation–emission matrices—parallel factor analysis (EEM-PARAFAC) to monitor dissolved organic matter (DOM) in drinking- and wastewater treatment plants were published ...
Iván Sciscenko +4 more
doaj +1 more source
MATHEMATICAL MODELS OF MULTIDIMENSIONAL DATA
The review of modern state of the problem of the multidimensional data analysis is given. The new mathematical models of the multidimensional data are considered.
V. S. Mukha
doaj
Extraction method shapes soil water-soluble organic matter composition as revealed by absorbance, fluorescence, and parallel factor analysis (PARAFAC). [PDF]
Fasching C +4 more
europepmc +1 more source
Connecting Brown Carbon Composition and Physicochemical Properties of Aqueous Urban PM<sub>2.5</sub> to their Photosensitized Production of Singlet Oxygen and Organic Triplet Excited States. [PDF]
Lyu Y +5 more
europepmc +1 more source

