نتایج جستجو برای: parafac

تعداد نتایج: 528  

Journal: :Chemosensors 2023

Human activity today produces a large number of pollutants that end up in the environment, such as soil, water, and airborne particles. The first objective this work is to introduce new third-order multivariate calibration approach called self-weighted alternating quadrilinear decomposition (SWAQLD) for analysis organic pollutant fluorene (FLU) different water systems. One simulated two real fo...

Journal: :International Journal of Antennas and Propagation 2014

Journal: :Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) 1982

Journal: :Optics express 2014
Nicholas L P Andrews Amy G MacLean John E Saunders Jack A Barnes Hans-Peter Loock Mohammed Saad Chenglai Jia Kishor Ramaswamy Lawrence R Chen

A fiber laser using a thulium-doped ZBLAN gain medium was used to generate laser radiation simultaneously at 1461, 1505 and 1874 nm, with > 5 mW output power at each of the wavelengths. The laser was used to quantify the near-infrared absorption of liquid water in acetone. Additionally, near-infrared spectra were recorded using a broad band source and were interpreted using parallel factor (PAR...

Journal: :Geoderma 2023

Water extractable organic matter (WEOM) is a very mobile and reactive soil OM fraction, critical in the translocation of carbon (C) from soils to other environmental compartments. Transformations WEOM due heating can have implications not only at local scale, but places far away location event. However, their accurate characterization costly when analyzing large number samples. The objectives t...

Journal: :Neural Computing and Applications 2022

Parallel factor analysis (PARAFAC) is a powerful tool for detecting latent components in human electroencephalogram (EEG) the time-space-frequency domain. As an essential parameter, number of should be set advance. However, any component selection method already proposed literature became rule thumb. Existing studies have demonstrated methods’ performance on artificial data with simplified stru...

2012
Juan Wang Xiaoli Li Chengbiao Lu Logan James Voss John P. M. Barnard Jamie W. Sleigh

This paper presents an alternative method, called as parallel factor analysis (PARAFAC) with a continuous wavelet transform, to analyze of brain activity in patients with chronic pain in the time-frequency-channel domain and quantifies differences between chronic pain patients and controls in these domains. The event related multiple EEG recordings of the chronic pain patients and non-pain cont...

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