Search results for "ENSO"
showing 10 items of 5582 documents
Sensory testing in new product development: working with children
2015
Abstract This chapter aims at briefly reviewing applications of sensory descriptive testing methods with children, as well as their limits in relation to the cognitive development of children. Children’s sensory perceptions and preferences may differ from those of adults, which may make working directly with children a must for successful product development, at least at some stages of product development. However, most reported studies with children have characterized their preferences. Some studies have used discrimination tests and ranking tasks to gain knowledge about differences among products, or about sensory abilities development. A much smaller number of studies have involved child…
Deriving electrophysiological brain network connectivity via tensor component analysis during freely listening to music
2020
Recent studies show that the dynamics of electrophysiological functional connectivity is attracting more and more interest since it is considered as a better representation of functional brain networks than static network analysis. It is believed that the dynamic electrophysiological brain networks with specific frequency modes, transiently form and dissolve to support ongoing cognitive function during continuous task performance. Here, we propose a novel method based on tensor component analysis (TCA), to characterize the spatial, temporal, and spectral signatures of dynamic electrophysiological brain networks in electroencephalography (EEG) data recorded during free music-listening. A thr…
The Tucker tensor decomposition for data analysis: capabilities and advantages
2022
Tensors are powerful multi-dimensional mathematical objects, that easily embed various data models such as relational, graph, time series, etc. Furthermore, tensor decomposition operators are of great utility to reveal hidden patterns and complex relationships in data. In this article, we propose to study the analytical capabilities of the Tucker decomposition, as well as the differences brought by its major algorithms. We demonstrate these differences through practical examples on several datasets having a ground truth. It is a preliminary work to add the Tucker decomposition to the Tensor Data Model, a model aiming to make tensors data-centric, and to optimize operators in order to enable…
Multi-domain Features of the Non-phase-locked Component of Interest Extracted from ERP Data by Tensor Decomposition
2020
The waveform in the time domain, spectrum in the frequency domain, and topography in the space domain of component(s) of interest are the fundamental indices in neuroscience research. Despite the application of time–frequency analysis (TFA) to extract the temporal and spectral characteristics of non-phase-locked component (NPLC) of interest simultaneously, the statistical results are not always expectedly satisfying, in that the spatial information is not considered. Complex Morlet wavelet transform is widely applied to TFA of event-related-potential (ERP) data, and mother wavelet (which should be firstly defined by center frequency and bandwidth (CFBW) before using the method to TFA of ERP…
Sparse nonnegative tensor decomposition using proximal algorithm and inexact block coordinate descent scheme
2021
Nonnegative tensor decomposition is a versatile tool for multiway data analysis, by which the extracted components are nonnegative and usually sparse. Nevertheless, the sparsity is only a side effect and cannot be explicitly controlled without additional regularization. In this paper, we investigated the nonnegative CANDECOMP/PARAFAC (NCP) decomposition with the sparse regularization item using l1-norm (sparse NCP). When high sparsity is imposed, the factor matrices will contain more zero components and will not be of full column rank. Thus, the sparse NCP is prone to rank deficiency, and the algorithms of sparse NCP may not converge. In this paper, we proposed a novel model of sparse NCP w…
Veselības apdrošināšanas atlīdzību pieteikumu attēlu informācijas apstrāde, izmantojot dziļos neironu tīklus
2018
Pieaugot pakalpojumu kvalitātes standartiem, uzņēmumi aizvien biežāk aplūko procesu uzlabošanas iespējas. Dziļo neironu tīklu risinājumu rīki paliek aizvien pieejamāki, bet cik vienkārši ir iekļaut šādas tehnoloģijas konkrēta procesa apstrāde? Lai atbildētu uz šo jautājumu, tika izvirzīts mērķis aplūkot konkrēta procesa automatizācijas iespējas, pieejamos atvērtā koda rīkus un identificēt iespējamos sarežģījumus. Darba ietvaros tika analizēts zaudējumu pieteikumu process un pētītas tā automatizācijas iespējas. Tika izveidotas vairākas datu kopas, aplūkota dokumentu lokalizēšana attēlos un izveidots risinājums, kas veiksmīgi lokalizē populārākos pieteikumu dokumentu veidus, kā arī tika anali…
Transportlīdzekļu apdrošināšanas atlīdzību prognozēšana izmantojot dziļos neironu tīklus
2019
Lai apdrošināšanas produkti darbotos veiksmīgi, viens no būtiskākajiem faktoriem ir apdrošināšana risku izvērtēšana. Viena no risku izvērtēšanas sastāvdaļām ir iespējamo apdrošināšanas atlīdzības apmēra prognozēšana, balstoties gan uz apdrošinātā objekta raksturlielumiem, gan klienta parametriem un vēsturi. Šajā darbā tika apskatītas dziļo neironu tīklu tehnoloģiju pielietojums apdrošināšanas atlīdzību summu novērtēšanā un balstoties uz transportlīdzekļu apdrošināšanas atlīdzību datiem, tika izveidots un apmācīts dziļo neironu tīkla modelis. Tika izveidots risinājums, ar kura palīdzību var prognozēt apdrošināšanas atlīdzību rezervju lielumu nākamajiem periodiem, izmantojot klienta un apdroš…
aspetti bioetici, deontologici e legali della terapia antalgica
2009
Longitudinal and cross-sectional associations of adherence to 24-hour movement guidelines with cardiometabolic risk
2022
This study aimed to examine 1) adherence to 24-hour movement guidelines over a 2-year follow-up in children aged 6-8 years and 2) association of this adherence with cardiometabolic risk factors. Physical activity and sleep were assessed by a monitor combining heart rate and accelerometry measurements. Screen time was reported by the parents. Body fat percentage, waist circumference, blood glucose, serum insulin, plasma lipids and blood pressure were assessed, and a cardiometabolic risk score was calculated using z-scores. Children were classified as meeting the guidelines if they had on average ≥60min/day of moderate-to-vigorous physical activity during the valid days; ≤120min/day of screen…
Biographical Research: Inequality and Innovation
2016
European Sociological Association; This project of the Baltic-German University Liaison Office is supported by the German Academic Exchange Service (DAAD) with funds from the Foreign Office of the Federal Republic Germany