Results 81 to 90 of about 1,574 (174)

Novel method based on fractional lower-order correntropy-analogous statistics for parameter jointly estimation in bistatic MIMO radar

Tongxin xuebao, 2016
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

Dissolved Organic Matter Behaviour by Conventional Treatments of a Drinking Water Plant: Controlling Its Changes with EEM-PARAFAC

Applied Sciences
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, Rita Binetti, Carlos Escudero-Oñate, Isabel Oller, Antonio Arques   +4 more
doaj   +1 more source

MATHEMATICAL MODELS OF MULTIDIMENSIONAL DATA

Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019
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  

Latent Functional PARAFAC for Modeling Multidimensional Longitudinal Data

Psychometrika
Abstract In psychometric sciences, such as social or behavioral sciences, and, similarly, in medical sciences, it is increasingly common to deal with longitudinal data organized as high-dimensional multidimensional arrays, also known as tensors.
Sort, Lucas, Brusquet, Laurent Le, Tenenhaus, Arthur   +2 more
openaire   +3 more sources

A Fluorescence-Based Sensor Combined with Chemometric and Deep Learning Approaches for Detecting and Quantifying Coconut Milk Fraud in Bovine Milk. [PDF]

Sensors (Basel)
Cahyarani SMD, Lee H.
europepmc   +1 more source

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 scalp.
Manyakov, Nikolay V., Chumerin, Nikolay, Combaz, Adrien, Robben, Arne, van Vliet, Marijn, Van Hulle, Marc   +5 more
openaire   +1 more source

Enhancing Soil Water-Soluble Carbon Stability Structure Through Straw Return in Maize-Soybean Rotation in Mollisols. [PDF]

Plants (Basel)
Kuang E, Liu L, Wang Z, Zhang J, Zhu Y, Zhu D, Colinet G, Guo B, Sun L.   +8 more
europepmc   +1 more source

PARAFAC-SPARK: Parallel tensor decompositions on spark

, 2019
Tensors are higher order matrices, widely used in many data science applications and scienti c disciplines. The Canonical Polyadic Decomposition (also known as CPD/PARAFAC) is a widely adopted tensor factorization to discover and extract latent features of tensors usually applied via alternating squares (ALS) method.
openaire   +2 more sources

Extraction method shapes soil water-soluble organic matter composition as revealed by absorbance, fluorescence, and parallel factor analysis (PARAFAC). [PDF]

Sci Rep
Fasching C, Boodoo KS, Feld-Golinski A, Foroushani MA, Chifflard P.   +4 more
europepmc   +1 more source

Connecting Brown Carbon Composition and Physicochemical Properties of Aqueous Urban PM_2.5 to their Photosensitized Production of Singlet Oxygen and Organic Triplet Excited States. [PDF]

Environ Sci Technol
Lyu Y, Li Y, Ma R, Zhou T, Borduas-Dedekind N, Nah T.   +5 more
europepmc   +1 more source